Samsung · Filed Jan 30, 2026 · Published Oct 22, 2026

A New Samsung Patent Swaps In Open Eyes When Someone Blinks

Samsung describes a phone camera that catches a blink in your photo and pastes in the person's open eyes from another frame of the same burst, all from one press of the shutter.

A camera finds faces across multiple rapid photos to replace closed eyes with open ones in a final group picture. Drawing from patent filing US 2026/0330603 A1.
A camera finds faces across multiple rapid photos to replace closed eyes with open ones in a final group picture.
See all 15 drawings from this filing ↓
Publication number US 2026/0330603 A1 US20260330603A1
Applicant SAMSUNG ELECTRONICS CO., LTD.
Filing date Jan 30, 2026
Publication date Oct 22, 2026
Inventors Inseok KANG, Sanghyeon LIM, Jihyun KIM, Jiyoon PARK
US classification 382/275
Status when we published Waiting for an examiner (Jul 15, 2026)
Parent application is a Continuation of PCTKR2024010326 (filed 2024-07-18)
Document 20 claims

What Samsung's blink-fixing camera actually does

Ever taken a group photo, checked it, and found one friend mid-blink? You end up asking everyone to hold still, again and again, while the moment slips away.

Samsung's filing describes a phone that handles this for you. When you press the shutter, the camera actually grabs a quick run of frames. The phone studies them, saves close-ups of anyone's open eyes, then picks the sharpest frame as its starting point. If somebody is blinking in that frame, it swaps in their saved open eyes.

The finished photo is a blend of all the frames, built to cut blur and noise. You see one result on screen, and in the filing's version of events you don't need to retake it.

From the filing · CLAIM 1
… obtain a second reference image by combining a prestored eye area image with an eye area of the at least one object in the first reference image …

Translation: The software digitally pastes open eyes from an older photo onto the blinking person.

How the phone picks a base photo and patches eyes

Modern phone cameras already take several frames per shutter press and merge them into one cleaner picture. This is called multi-frame processing (stacking a burst of photos to cut noise and blur). The filing points out a gap: the merge is built around one reference image (the base frame everything else is lined up to), and nobody checks whether the person in that base frame has their eyes shut.

The patent adds an eye check. The phone first scans all the frames and saves an eye area image (a cropped patch covering both eyes and eyelids) of each person from a frame where their eyes are open. It then picks the base frame using sharpness, brightness, or capture time, and looks for anyone with closed eyes in it.

If it finds a blinker, it pastes that person's saved open-eye patch over the closed eyes, resizing it to fit and matching the brightness first if the frames differ. That patched image becomes the second reference image.

The phone then measures how much the other frames moved compared with it, skipping any eye regions that show closed eyes, and blends everything into the final photo. The claims also cover a second route: swapping the whole base frame for a sharp one where the eyes are open.

From the filing · THE ABSTRACT
… calculate a movement difference between the second reference image and remaining images while excluding eye areas identified as closed …

Translation: It compares the edited base photo with other shots while ignoring the areas with closed eyes.

Why one tap instead of three could matter to you

The practical payoff is fewer retakes. If this ended up in a Samsung phone's camera app, the fix for a blink would happen automatically at the moment you tap, so you would not discover it later when the group has already walked away.

It also matters for crowds. The filing describes handling several people at once, taking one person's open eyes from one frame and another person's from a different frame. That is the case where blinks are hardest to avoid, such as family portraits and big group shots.

The filing also describes bundling the burst frames into a single moving-image file, which hints at a Live Photo style option.

Samsung's 158th filing we've tracked since May in our camera sensor push watchlist adds to earlier work on pulling hidden color data and catching the sharpest jump moment.

Editorial take

The trade here is truth for convenience. The finished photo can show eyes that were never open at the exact moment you pressed the shutter, pulled instead from a slightly earlier or later frame, making the result a quiet composite rather than a single captured instant.

That swap has to land perfectly to go unnoticed. A borrowed eye patch needs to match the face's position, the light falling on it, and where the person was looking, and if someone turned their head between frames, the pasted eye can look subtly wrong. The filing addresses brightness mismatches but says nothing about head angle or gaze direction, which are real ways this could go soft.

Even so, the cost is small and the benefit is one almost everyone has felt. A small risk of an odd-looking eye is a fair price for not asking everyone to hold still one more time.

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The drawings

15 drawing sheets from US 2026/0330603 A1 · click any drawing to enlarge

Internal parts of the phone that process and store pictures, drawing sheet 1 from US 2026/0330603 A1
Sheet 1 Internal parts of the phone that process and store pictures
Camera parts that focus, stabilize, and capture the scene, drawing sheet 2 from US 2026/0330603 A1
Sheet 2 Camera parts that focus, stabilize, and capture the scene
Picking a base shot from bursts where the subject blinked, drawing sheet 3 from US 2026/0330603 A1
Sheet 3 Picking a base shot from bursts where the subject blinked
Core chips and screen that handle automatic photo corrections, drawing sheet 4 from US 2026/0330603 A1
Sheet 4 Core chips and screen that handle automatic photo corrections
Selecting the sharpest frame using edge detection scores, drawing sheet 5 from US 2026/0330603 A1
Sheet 5 Selecting the sharpest frame using edge detection scores
Evaluating motion and brightness before locking in a base image, drawing sheet 6 from US 2026/0330603 A1
Sheet 6 Evaluating motion and brightness before locking in a base image
Replacing blinked eyes with open eyes taken from another shot, drawing sheet 7 from US 2026/0330603 A1
Sheet 7 Replacing blinked eyes with open eyes taken from another shot
Swapping open eyes onto multiple blinking faces in group photos, drawing sheet 8 from US 2026/0330603 A1
Sheet 8 Swapping open eyes onto multiple blinking faces in group photos
Show the other 7 sheets
Pasting open eyes across photos taken at different brightness levels, drawing sheet 9 from US 2026/0330603 A1
Sheet 9 Pasting open eyes across photos taken at different brightness levels
Steps to detect and replace blinking eyes in photos, drawing sheet 10 from US 2026/0330603 A1
Sheet 10 Steps to detect and replace blinking eyes in photos
Picking a sharper photo with open eyes as base, drawing sheet 11 from US 2026/0330603 A1
Sheet 11 Picking a sharper photo with open eyes as base
Finding a better photo when several people blink, drawing sheet 12 from US 2026/0330603 A1
Sheet 12 Finding a better photo when several people blink
Picking a bright open-eye frame to anchor a burst shot, drawing sheet 13 from US 2026/0330603 A1
Sheet 13 Picking a bright open-eye frame to anchor a burst shot
How the phone chooses the best open-eye photo, drawing sheet 14 from US 2026/0330603 A1
Sheet 14 How the phone chooses the best open-eye photo
Merging burst shots to fix blinks automatically, drawing sheet 15 from US 2026/0330603 A1
Sheet 15 Merging burst shots to fix blinks automatically
Browse all the drawings 15 drawing sheets
Patent filing page

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