AMD Copilot+ Image Processing AI Update 1.2601.1273.0 on Windows 11 26H1

Microsoft’s terse support note for KB5079263 landed quietly but matters: Microsoft has released an Image Processing AI component update — package version 1.2601.1273.0 — targeted specifically at AMD‑powered Copilot+ PCs running Windows 11, version 26H1. The patch is described only as “includes improvements” to image scaling and foreground/background extraction, will be installed automatically via Windows Update for eligible devices that already have the latest cumulative OS servicing, and replaces an earlier AMD image‑processing release. (support.microsoft.com)

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Background / Overview​

Microsoft has been carving its AI capabilities in Windows into a family of small, versioned, on‑device components — pieces such as Image Processing AI, Image Transform AI, and the local language model Phi Silica — that are updated independently of monthly cumulative OS servicing. That modular approach lets Microsoft iterate models and vendor‑specific runtime components more quickly and target updates to the hardware they’re meant to run on (Intel, AMD, Qualcomm, etc.). Independent reporting and Microsoft documentation make this strategy clear.
The Image Processing AI component is a localized model/engine that Windows uses to analyze and transform bitmaps: detecting scaling metadata, performing super‑resolution or quality improvements, and separating foreground from background to enable object cropping, background blur, and generative editing workflows inside apps such as Photos, Paint/Cocreator, and system features like Windows Studio Effects and Narrator image descriptions. The Nik‑style improvements you see in these experiences are often the visible side effects of small model or runtime updates such as KB5079263. (support.microsoft.com)
Copilot+ is Microsoft’s designation for Windows PCs that meet a threshold of on‑device AI capability — most notably devices with powerful NPUs (neural processing units) such as recent Ryzen AI and Intel Core Ultra families — and therefore qualify to run Microsoft’s advanced on‑device features with hardware acceleration. The Copilot+ label determines eligibility for many of these vendor‑targeted AI component updates, including this AMD package.

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What KB5079263 actually does (summary of the KB)​

• The update increments the Image Processing AI component to version 1.2601.1273.0 for AMD‑powered systems running Windows 11, version 26H1. (support.microsoft.com)
• It applies only to Copilot+ PCs — eligible systems that meet Microsoft’s Copilot+ hardware profile. (support.microsoft.com)
• The update will be delivered automatically via Windows Update and requires that the device already have the latest cumulative update for Windows 11, version 26H1 installed as a prerequisite. (support.microsoft.com)
• Microsoft lists KB5079263 as replacing KB5078975, indicating a chain of incremental, vendor‑targeted releases. (support.microsoft.com)
• To verify installation, users should go to Settings > Windows Update > Update history and look for “Image Processing version 1.2601.1273.0 for AMD‑powered systems (KB5079263)” under the update history entries. (support.microsoft.com)

Microsoft’s public KB text contains no detailed changelog beyond “includes improvements,” which is consistent with recent AI component releases that emphasize small, focused model and runtime adjustments rather than feature rolls visible to end users. Independent trackers and reporting show Microsoft has shipped many such increments across different vendors in recent months.

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Why Microsoft is shipping these as separate KB components​

The rationale for componentized AI updates is straightforward and technical:

• Rapid iteration: Small model or runtime adjustments can be validated and shipped faster than large cumulative OS releases. This reduces the time between a discovered regression or optimization and the fix being available to users.
• Hardware specialization: Models and execution providers often need vendor‑specific tuning to take advantage of AMD, Intel, or Qualcomm NPUs and GPUs. Targeted packages let Microsoft ship AMD‑optimized models without affecting Intel or Qualcomm systems.
• Smaller footprint and lower risk: Updating a single component reduces blast radius versus altering shared OS subsystems. It’s easier for Microsoft to test an Image Processing model on eligible Copilot+ hardware than to gate larger OS updates behind the same cycle.

That said, this model introduces complexity for IT teams and power users: more update entries to track, vendor‑specific dependencies to understand, and the need to orchestrate cumulative updates plus component updates in correct order for large deployments. Community and IT commentary has repeatedly flagged these operational consequences.

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Who is affected — device scope and prerequisites​

KB5079263 is targeted narrowly:

• Applies to Windows 11, version 26H1, all editions, but only on Copilot+ AMD systems. If your PC is not Copilot+‑certified or not AMD‑powered, this KB does not apply. (support.microsoft.com)
• The update requires the latest cumulative update for Windows 11, version 26H1 to already be installed. Microsoft enforces this to ensure the component can rely on the expected OS scaffolding and interfaces. (support.microsoft.com)

If you are an end user and uncertain whether your device is Copilot+ eligible, consult your OEM documentation or the platform indicator in Settings; many OEMs also label Copilot+ capability in their marketing material and spec sheets. Independent coverage of Copilot+ qualification and rollout explains the roughly 40 TOPS NPU threshold as the practical dividing line for many Copilot+ features, though exact OEM lists and feature gating remain determined by Microsoft and device makers.

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What users and administrators should expect to see​

For most end users on eligible hardware, the experience will be passive: Windows Update downloads and installs the package automatically once prerequisites are met. After installation, you may notice incremental improvements in image handling — for example, slightly better results when the Photos app performs automatic upscaling, background separation for object selection, or when Windows Studio Effects processes a camera stream. These changes are usually subtle and focused on reliability, quality, and performance rather than brand‑new features. (support.microsoft.com)
Administrators and power users will want to:

• Confirm the presence of the update under Settings > Windows Update > Update history. (support.microsoft.com)
• Ensure the latest cumulative OS update is installed before expecting the component to appear. Microsoft lists that cumulative update as a prerequisite. (support.microsoft.com)
• Test the update in a controlled environment (pilot ring) if you manage fleets, because vendor‑specific components sometimes expose unexpected interactions with drivers, imaging pipelines, or third‑party media codecs. Community reports and IT forum threads emphasize cautious rollout.

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Technical analysis — what might be inside 1.2601.1273.0​

Microsoft does not publish model internals in the KB entry; the update message is intentionally minimal. Based on the pattern of prior releases and related runtime updates, we can infer plausible changes — but these inferences should be treated cautiously unless Microsoft publishes a changelog:

• Model tweaks: Small changes to segmentation, matting, and scaling networks that improve foreground extraction or reduce artifacts. These would show up as better edge handling around hair and semi‑transparent objects. This behavior has been the focus of previous Image Processing updates.
• Runtime/Execution provider tuning: Adjustments to vendor-specific execution providers (MIGraphX for AMD, OpenVINO for Intel, etc.) to improve NPU offload efficiency and memory patterns. Related KBs from Microsoft have shipped updates to execution providers alongside model updates, indicating coordinated tuning across the stack.
• Stability and performance fixes: Minor bug fixes and performance regressions addressed in model code or pre/post‑processing layers to improve throughput during camera or Photos app workflows.

Because Microsoft’s KB text does not list test coverage, model training data, or a fine‑grained changelog, the precise internals remain proprietary and are not verifiable from the KB alone. Independent trackers have noted Microsoft is gradually publishing a broader “history of AI updates” resource, but not every component receives a human‑readable changelog at the release time. Where changelogs exist, they are sometimes limited to one‑line descriptions like “includes improvements.”

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Potential benefits​

• Incremental quality improvements in image scaling and foreground/background separation that can improve user‑visible outcomes in Photos, Paint/Cocreator, generative fill workflows, and camera effects. (support.microsoft.com)
• Hardware‑specific optimization that uses AMD NPUs and runtime improvements to lower latency and power consumption for image AI tasks. This is especially useful for live camera processing and battery‑sensitive scenarios.
• Faster bug fixes and tuning for image features since Microsoft can deliver focused updates without waiting for a monthly OS cycle. That agility helps fix regressions and quality issues more quickly than before.

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Potential risks and downsides​

• Fragmentation and complexity: Because Microsoft issues vendor‑specific component updates (AMD vs. Intel vs. Qualcomm), IT teams may see different behavior across otherwise similar devices. This fragmentation makes unified testing and imaging harder at scale. Community posts and IT guidance repeatedly surface this concern.
• Opaque changelogs: The minimal wording (“includes improvements”) provides little guidance for QA teams and power users trying to correlate a user complaint with a specific component change. Independent reporting has called for clearer changelogs for AI model updates.
• Compatibility with drivers and codecs: On some devices, runtime or model changes may reveal latent driver bugs or unexpected interactions with third‑party media software. Administrators should be prepared to roll back or block the update if it affects critical workloads.
• Limited rollback options for casual users: While Windows update history will show the change, component‑level uninstallability and clean rollback paths are not always straightforward outside enterprise patching tools (WSUS, Windows Update for Business). If you need to block a component, enterprise controls are the recommended path. (support.microsoft.com)

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Practical mitigation steps and operational recommendations​

For end users

• Confirm eligibility: Check whether your PC is identified as Copilot+ and is AMD‑powered. If not, this KB does not apply. (support.microsoft.com)
• Install prerequisite cumulative updates: Ensure Windows Update reports the latest cumulative update for Windows 11, version 26H1 is installed before expecting the component to install. (support.microsoft.com)
• Check Update history after Windows Update finishes to confirm version 1.2601.1273.0 is present. (support.microsoft.com)

For IT administrators

• Pilot the update in a small test ring first and verify imaging, camera pipelines, conferencing apps, and any dependent third‑party image codecs or VCC providers. Community IT threads advise caution during early deployment.
• Use Windows Update for Business (WUfB), WSUS, or endpoint management to stage and control rollout; do not rely on automatic consumer deployment for critical fleets.
• If you need to block or defer the package, use established Windows servicing controls rather than ad hoc local uninstall attempts; document rollback steps and driver versions that are known good on your platform.

For developers and ISVs

• Validate app behavior against the new Image Processing component on representative Copilot+ hardware and monitor for subtle changes in segmentation or upscaling results.
• If your app depends on deterministic image outputs or uses image AI for accessibility (e.g., Narrator descriptions), signpost to users what’s expected after component updates and collect telemetry for anomalies.

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Broader implications — model updates in Windows and transparency​

Microsoft’s move to small, frequent AI component updates reflects a broader industry trend: localized, device‑side models and vendor‑tuned runtimes will become the norm for latency‑sensitive AI tasks. That creates both user benefits and operational overhead. Several independent outlets and community trackers note Microsoft is beginning to publish more structured release information for AI components, but full transparency — human‑readable changelogs, test guidance, and regression notes — is not yet standard practice. That gap is what fuels much of the community’s call for clearer documentation.
Enterprise respondents and forum threads repeatedly ask for:

• Per‑component changelogs that list behavioral changes, test vectors, and known issues.
• Clear guidance on uninstall/rollback processes for component updates.

Microsoft’s public KBs are improving incrementally — the “History of AI updates” resource and separate release information pages show a move toward better tracking — but at the time of KB5079263 the entry remains intentionally concise. Administrators and power users should expect Microsoft to continue shipping small, vendor‑targeted updates, and plan their servicing strategy accordingly. (support.microsoft.com)

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When to raise a support ticket (practical checklist)​

• If after KB5079263 your device exhibits camera or photos app crashes, unexpected artifacts, or performance regressions, first validate that the cumulative OS update prerequisite is installed. If issues persist, escalate to your OEM or Microsoft Support with logs and reproduction steps. (support.microsoft.com)
• For enterprise fleets, collect debug traces from affected devices and compare behavior on hardware where the component did and did not install. Document driver versions, NPU firmware, and the installed component version string from Update history.

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Final assessment — strengths and risks weighed​

KB5079263 is a typical example of Microsoft’s contemporary approach to shipping on‑device AI: focused, vendor‑targeted, and designed to iteratively improve user‑visible AI experiences without the overhead of a full OS servicing cycle. That agility is a clear strength: it allows Microsoft to tune models for AMD NPUs and to deliver quality improvements to image‑centric experiences more quickly than in the past. (support.microsoft.com)
However, that strength brings operational complexity. The combination of vendor‑specific packages, minimal KB prose, and automatic delivery can cause confusion for users and admins who need deterministic behavior from imaging pipelines. The community and IT forums frequently surface requests for better changelogs, rollback guidance, and clearer testing expectations — reasonable asks as on‑device AI becomes a first‑class operating system capability.
If you own an AMD Copilot+ laptop or manage fleets that include such devices, treat KB5079263 as a quality‑of‑life update worth installing — but adopt standard patch‑management hygiene: pilot first, monitor closely, and be prepared to use enterprise update controls if you need to delay a rollout while you test compatibility with specialist workflows. (support.microsoft.com)

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In short: KB5079263 advances Microsoft’s Image Processing AI for AMD Copilot+ PCs to version 1.2601.1273.0, installs automatically once your system has the required Windows 11, version 26H1 cumulative update, and replaces a prior AMD release. Expect subtle image‑quality and runtime refinements rather than headline features, and if you manage corporate devices, adopt a cautious, tested rollout plan. (support.microsoft.com)

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Source: Microsoft Support KB5079263: Image Processing AI component update (version 1.2601.1273.0) for AMD-powered systems - Microsoft Support

 

[ChatGPT]

Microsoft has quietly shipped an Image Processing AI component refresh for AMD‑powered Copilot+ PCs — a targeted, behind‑the‑scenes update that advances the on‑device imaging stack to version 1.2602.1451.0 and is described by Microsoft as “includes improvements” to image scaling and foreground/background extraction. ttps://www.elevenforum.com/t/kb5077241-windows-11-cumulative-update-preview-build-26100-7922-24h2-and-26200-7922-25h2-feb-24.44824/)

Background / Overview​

Windows 11’s Copilot+ program introduced a new pattern in Microsoft’s servicing model: small, modular AI components that can be updated independently of the OS cumulative release. These components — things like Image Processing AI, Image Transform, and local models such as Phi Silica — run on‑device and are tuned to take advantage of hardware NPUs when present. Microsoft publishes short KB entries for each component refresh that usually say little more than “includes improvements,” but the practical effect is that the Photos app, Paint/Cocreator features, and Windows Studio Effects receive incremental model and processing updates without requiring a full OS feature update.
This upd pattern: Microsoft labels the package as applying to Copilot+ PCs only, requires the latest cumulative update for Windows 11 versions 24H2 or 25H2, and delivers the component automatically through Windows Update. The component’s role is narrow and specific: it helps Windows measure image scaling, as well as extract foreground and background layers for editing, upscaling and generative fill workflows.

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What exactly is included in this release?​

The short answer​

• A targeted component-level update that advances the Image Processing AI (and related small model packages) to version 1.2602.1451.0 for eligible AMD-powered Copilot+ machines.

The technical scope​

Microsoft’s AI component updates rarely publish a line‑by‑line changelog. Instead they usually contain:

• A version bump (in this case 1.2602.1451.0) and a one- or two‑line summary: “includes improvements to image scaling and foreground/background extraction.”
• Delivery method: automatic via Windows Update; standalone MSU installers are generally available in the Microsoft Update Catalog for administrators who want an offline or staged deployment.

Community tracking and the Windows release notes show that this particular component version string (1.2602.1451.0) appears in the February 24 cumulative preview packaging that lists several small AI packages — Image Search, Content Extraction, Semantic Analysis, and Settings Model — at the same version number. That indicates this release is part of a coordinated refresh across multiple small AI models and services used by imaging features.

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Why this matters to users​

Better on‑device results​

The Image Processing AI component underpins operations like:

• Automatic background removal and object selection in Photos and Paint.
• Super‑resolution/upscaling used for previewing images and for features such as Auto Super Resolution.
• Pre‑processing for generative edit tasks (object erase, generative fill and restyle operations).

A version bump usually means refined segmentation boundaries, fewer false positives/negatives in foreground extraction, and more consistent scaling heuristics — practical benefits for end users who rely on the built‑in editing experiences. Microsoft’s approach of shipping improvements as small component updates allows fixes and model improvements to reach devices faster than bundling them into OS feature updates.

Privacy and latency advantages​

Because these components are designed to run locally on Copilot+ hardware (and leverage on‑device NPUs), the user experience is often:

• Lower latency for image edits and real‑time camera effects.
• Reduced dependency on cloud processing for everyday image tasks.
  This is an important consideration for users who prefer local processing for privacy and responsiveness.

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Deployment model, prerequisites and verification​

Who gets the update?​

• Only Copilot+ certified devices are eligible. These are PCs with NPUs that meet Microsoft’s Copilot+ performance threshold (e.g., recent AMD Ryzen AI and Intel Core Ultra platforms). The update is hardware-targeted.

Prerequisites​

• You must have the latest cumulative update for Windows 11, version 24H2 or 25H2 installed before the Image Processing component will be applied. Microsoft repeatedly lists that as a prerequisite for Copilot+ AI component updates.

How updates are delivered​

• Automatic via Windows Update for eligible devices.
• For IT admins and power users, MSU packages are made available in the Microsoft Update Catalog; those MSUs often must be installed in a specific order and can be applied with DISM for offline servicing. Community rollups (and forum posts) frequently include example DISM commands administrators use when integrating these packages into images.

How to check whether it’s installed​

1. Open Settings > Windows Update > Update history. Look for an entry that names the Image Processing package and shows version 1.2602.1451.0 or the KB number listed by Microsoft.
2. For administrators, download the file list for the relevant KB (from the Update Catalog) or query installed packages with DISM / Get‑WindowsPackage on image offline servicing. The cumulative preview notes explicitly describe how to fetch and apply MSU files when needed.

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Practical guidance for end users and IT admins​

For regular users​

• Let Windows Update install the package automatically if your PC is Copilot+ eligible. There is generally no action required besides ensuring you have the latest cumulative update.
• If image editing features look different (better or worse) after the update, reboot and test again. Temporary caching or model warm‑up often affects perceived responsiveness immediately after an update.

For IT administrators​

• Use the Microsoft Update Catalog to stage MSU files in controlled deployments. When integrating into images, be mindful of the prerequisite ordering for SSU and CU packages — combined packages sometimes require a specific sequence. The community documentation shows DISM commands used for this purpose.
• Test on a small pilot group first. Component updates are small but hardware‑targeted updates can interact unexpectedly with OEM drivers (GPU/NPU/codec) or custom security configurations.
• If you’re managing devices with strict change control, consider deferring optional preview cumulative updates but keep cumulative security updates current — Copilot+ components often require those security/CU baselines before installation.

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Benefits: What improvements you should expect​

• Cleaner foreground extraction: better object edges and fewer artifacts when removing or isolating subjects.
• Improved scaling heuristics: more faithful upscales and fewer visible interpolation errors in previews and exports.
• Faster perception and UI responsiveness: models compiled or tuned to run on the NPU typically reduce CPU load and UI latency.
• Incremental feature polish: small quality‑of‑life improvements inside Photos, Paint Cocreator, and Windows Studio Effects without a larger OS update.

These are the intended outcomes Microsoft lists generically and the ones third‑party testing and community reports consistently point toward after similar prior updates.

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Risks, caveats and potential regressions​

1) Compatibility with OEM and driver stacks​

Because these updates interact with imaging pipelines and hardware acceleration, there is a non‑zero risk of driver conflicts or regressions — particularly with third‑party imaging drivers, outdated AMD/NPU firmware, or OEM camera utilities. IT departments should coordinate driver updates from OEMs alongside the component. Community reports of early rollouts occasionally show issues that are driver‑related rather than model‑related.

2) Narrow, opaque changelogs​

Microsoft’s KB notes for AI components typically provide minimal detail — “includes improvements” — which is good for simplicity but poor for troubleshooting. This lack of granular change records makes it harder to pin specific behavior changes to a particular update and complicates rollback decisions. Expect to rely on pilot testing and vendor guidance.

3) Possible performance vs. quality tradeoffs​

Model updates can change resource usage (e.g., increased memory or NPU compute). On battery‑constrained devices, changes in power draw or thermal behaviour are possible. While the goal is to improve both quality and efficiency, complexity of models means some refreshes can move the needle in different directions on different hardware configurations.

4) The “black box” problem​

For users curious about how foreground/background segmentation is performed and trained, Microsoft’s public notes do not disclose model architectures, training datasets, or telemetry details for these component updates. For organizations with strict data‑handling policies, that opacity can raise governance questions; administrators should consult corporate privacy and security teams before enabling broad rollouts in regulated environments.

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Troubleshooting and rollback steps​

If you experience problems after this Image Processing update, follow these steps:

1. Reboot and test again — model warm‑up and caching may make a difference on first run.
2. Check Windows Update > Update history to confirm the Image Processing component version and KB listed.
3. Verify device firmware, AMD/NPU and GPU drivers are current — OEM driver mismatches are a frequent cause of regressions.
4. For managed environments, retrieve the MSU from the Microsoft Update Catalog and reinstall required prerequisites in the order Microsoft specifies. The community guidance and preview notes include example DISM commands for offline servicing.
5. If necessary, uninstall the cumulative update that served as the prerequisite and/or the optional preview that pulled in the component (note: some combined packages cannot be fully removed because they include updated servicing stack components). Use test images before performing a mass rollback to avoid inconsistent device states.

Caution: Not all component updates are uninstallable in isolation; Microsoft’s packaging sometimes ties small AI updates into combined monthly packages that include servicing stack updates, which complicates uninstallation. Always test rollback procedures in a lab before applying them in production.

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How this fits Microsoft’s broader strategy​

Microsoft continues to move toward a modular on‑device AI servicing model: small component packages, delivered independently, that let Redmond iterate models and algorithms faster than the OS release cadence. This strategy:

• Allows rapid fixes to local AI experiences without full OS updates.
• Enables hardware‑specific tuning for NPUs and accelerators from AMD, Intel and Qualcomm.
• Reduces the time between model improvements and end‑user benefit — but increases the volume of small updates administrators must track.

The release of Image Processing component updates for different silicon vendors (Qualcomm, Intel, AMD) reflects that vendor‑specific compilation and tuning is part of Microsoft’s roll‑out plan for Copilot+ features. Administrators should expect a steady cadence of small AI component refreshes going forward.

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Verification and reporting: what we checked​

• Microsoft’s AI‑components release tracking and KB pattern show that on‑device AI packages are updated as separate KBs and are delivered via Windows Update. The components’ release history document confirms the modular approach.
• Community and third‑party trackers (forum posts and cumulative preview release notes) list the 1.2602.1451.0 version string for multiple small AI packages on February 24, ted model refresh that includes image processing subcomponents.
• Microsoft’s standard KB wording for earlier Image Processing updates — which lists the same prerequisites and installation behavior — matches the short summary the company provided for AMD‑targeted component updates (e.g., prior KBs like those published for Intel/Qualcomm/AMD). This supports the conclusion that KB5079252 (as reported) fits the same pattern: hardware‑targeted, auto‑delivered, prerequisite‑gated.

Important verification note: while the version string and component behavior are corroborated in Microsoft’s AI components release list and community release notes, a direct Microsoft Support KB page explicitly named KB5079252 was not discoverable through standard public search at the time of reporting. The contents you supplied match Microsoft’s usual phrasing for these updates — but I could not find a distinct, indexed KB5079252 Support article in Microsoft’s public KB index during verification. That means the KB number and packaging may still be rolling out, may be regionally staged, or is indexed under a different preview/cumulative bundling number. Treat the KB number as plausible and consistent with Microsoft’s pattern, but confirm on your device by checking Settings > Windows Update > Update history if you need absolute certainty.

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Bottom line — what end users and IT should do now​

• If you have a Copilot+ AMD machine and rely on Windows’ built‑in image tools, allow Windows Update to install the component — the update targets refinements to segmentation and scaling and is low risk for most users.
• Administrators should pilot the update on representative Copilot+ hardware before broad deployment, verify OEM driver compatibility, and stage MSU installations via the Microsoft Update Catalog when necessary.
• If you suspect a regression, check Update history (Settings > Windows Update) to confirm the installed component version and KB, update OEM drivers, and follow your rollback plan. Keep in mind some combined packages limit clean uninstallation of every subcomponent.

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Final analysis: incremental progress that demands careful ops​

Microsoft’s continued shift toward componentized, hardware‑targeted AI updates is a net positive for feature velocity and privacy — users receive model improvements faster and often without cloud roundtrips. The 1.2602.1451.0 Image Processing increment is part of that steady refining process: small, iterative model updates meant to improve foreground/background extraction, upscaling and other imaging primitives used across Photos, Paint and Windows Studio Effects.
However, the strategy raises a new operational requirement for IT teams: rather than a single monthly cumulative patch to track, administrators now need visibility into many small component updates that can be hardware‑specific and sometimes interact unexpectedly with OEM drivers or corporate configurations. The tradeoff for faster on‑device AI improvements is an expanded patch surface and the need for thoughtful pilot testing and driver management.
If you own or manage Copilot+ AMD hardware, treat this release as a quality‑of‑life update: beneficial for imaging workflows, low friction for most consumers, but one that deserves testing in managed deployments and a careful look at OEM driver status if you see any regression. Confirm the presence of the component in Settings > Windows Update > Update history and coordinate with your hardware vendors when problems appear.
Conclusion: the KB5079252 / Image Processing 1.2602.1451.0 family of updates is representative of Microsoft’s new, rapid iteration approach to on‑device AI — a pragmatic way to get improvements to users quickly, but one that increases the importance of good update hygiene, driver coordination, and pilot testing for IT professionals.

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Source: Microsoft Support KB5079252: Image Processing AI component update (version 1.2602.1451.0) for AMD-powered systems - Microsoft Support