Samsung · Filed May 4, 2026 · Published Sep 17, 2026 · verified — real USPTO data

Samsung's New Patent Keeps Image Touch-Ups Focused Only on Pixels That Need Them

Samsung has filed a patent for an AI image processing system that figures out which parts of a photo actually need fixing, then skips the rest entirely, saving time and battery in the process.

Before and after examples of image quality improvement, showing how an original image is processed to enhance its visual details. Drawing from patent filing US 2026/0279310 A1.
Before and after examples of image quality improvement, showing how an original image is processed to enhance its visual details.
See all 12 drawings from this filing ↓
Publication number US 2026/0279310 A1
Applicant SAMSUNG ELECTRONICS CO., LTD.
Filing date May 4, 2026
Publication date Sep 17, 2026
Inventors Hojin KIM, Wonjun Roh, Jaehun Cho, Changryong Heo, Mooyoung Kim, Boyoun Na
CPC classification 345/660
Grant likelihood Medium
Examiner CENTRAL, DOCKET (Art Unit OPAP)
Status Docketed New Case - Ready for Examination (Jun 30, 2026)
Parent application is a Continuation of PCTKR2024017309 (filed 2024-11-05)
Document 20 claims

What Samsung's pixel-skipping image AI actually does

Ever noticed how your phone takes a moment to process a photo before it looks its best? That processing takes real effort from your phone's chip, and a lot of it is spent on pixels that probably didn't need touching in the first place.

Samsung's patent describes a system that looks at groups of pixels and checks how similar they are to each other. Pixels in a smooth sky or a flat wall are all roughly the same color and brightness, so they don't need as much attention. Pixels at the edge of a face or a sharp object need more work to look good. The AI learns to tell the difference and only applies its full set of image-improvement filters to the pixels that actually need them.

The result is that your phone does less work on every photo it processes. That can mean faster shots, less heat, and a longer battery charge over the course of a day.

From the filing · CLAIM 1
… control an artificial intelligence model driving module to apply a plurality of filters to a first set of pixels satisfying a specified similarity condition among the plurality of pixels …

Translation: It tells the AI tool to process only the parts of the image that actually match certain conditions.

How the filter decides which pixels to process or skip

The system centers on an AI model driving module, which is essentially a controller that decides how to run a set of image-enhancement filters. Those filters are designed to improve things like sharpness, color accuracy, and noise reduction.

Before running the filters, the device first measures the similarity between neighboring pixels. Think of it like checking whether pixels look alike. A patch of blue sky has very similar pixels throughout. A person's eyelash against a bright background has pixels that change sharply from one to the next.

Based on that similarity check, the system splits pixels into two groups:

  • First set: pixels that meet a similarity condition (they look alike) and get the full filter treatment.
  • Second set: pixels that don't meet that condition and have the filters bypassed entirely.

Bypassing means the processor skips those calculations rather than running them and discarding the result. That distinction matters because AI image filters can be computationally expensive, and applying them everywhere on every frame is one reason photo processing drains chips quickly.

From the filing · THE ABSTRACT
… control the artificial intelligence model driving module to limit application of the plurality of filters to a second set of pixels that do not satisfy the designated similarity condition from among the plurality of pixels …

Translation: It stops the AI from wasting effort on parts of the picture that do not need any touching up.

What this means for phone photo quality and battery life

For most people, this patent is about getting the same photo quality with less battery drain. Phones process images constantly, not just when you hit the shutter but during video, live previews, and night-mode scenes. A system that cuts unnecessary AI computation out of that pipeline could add up to real savings over a day's worth of shooting.

Samsung's track record in image processing patents suggests this fits a pattern of incremental chip-efficiency work rather than a headline camera feature. The practical question is how much quality trade-off, if any, comes from skipping filters on the "easy" pixels. The patent doesn't address that directly, which is where the engineering gets interesting.

Samsung's 21st filing we've tracked since July in AI photo editing race, following placing you in a movie scene and repositioning subjects with 3D models, adds another piece to the picture.

Editorial take

From a shipping standpoint, this patent describes a software decision sitting on top of hardware Samsung already builds into its phones: chips dedicated to running AI math. Nothing new has to be manufactured first, which puts this closer to a firmware update than a product launch.

The core idea is straightforward: check whether nearby pixels look alike before deciding whether to run an expensive image-improvement filter, and skip that work when it isn't needed. That makes photo processing faster and less battery-hungry without the user doing anything differently.

The open question is where Samsung sets the threshold for "similar enough to skip," and whether the boundary between processed and unprocessed areas ever shows up as a faint visual seam. Those tuning decisions will determine whether this disappears invisibly into the camera or becomes a source of subtle photo artifacts.

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The drawings

12 drawing sheets from US 2026/0279310 A1 · click any drawing to enlarge

Patent filing page

Source. Full patent text and figures from the official USPTO publication PDF.