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Picture restoration

How to repair mosaic pictures: AI pixelated picture restoration instructions

Use a brush to mark pixelation, compressed blocks, localized blur, and frame defects in your own or licensed images, and AI will generate visual patches based on surrounding content. The real pixels covered by the mosaic have been lost, and the result is a speculative picture rather than decoding or recovering the original information.

Pixelation ImprovementLocal generation repairAuthenticity statement
Facial coding diagram
Examples of pixelation and local defects in own pictures
After AI repair
Example of AI generating local patch content based on surrounding images

Suitable for these scenarios

Which pixelation issues are suitable for improving the look and feel?

🧩

Compressed Blocks and Mild Pixelation

Improve the look and feel of compressed blocks or partial pixelation in old pictures, screenshots, and materials forwarded multiple times.

🖼️

Background and object local defects

Repair small areas of missing images on backgrounds, walls, desktops and ordinary objects, and check whether the generated textures are coordinated.

🎨

Own creative material repair

Dealing with partial occlusions and picture defects in pictures created by me or authorized is not used to reveal information that others have deliberately hidden.

Operation path

How to apply and inspect generative patching

  1. Upload your own or authorized pictures and confirm that the processing target does not involve trying to identify other people's privacy or anonymized identity.
  2. Use the brush to completely cover the pixelated or chipped areas that need improvement, and try not to cover large areas of normal content.
  3. After submission, check whether the generated area conforms to the original image context; the results are regarded as visual repairs and not as real original information.
Open mosaic restoration tool

Scope of use and privacy boundary

  • The tool will prioritize a small amount of smear area with a larger area. Selecting too many or too large areas at one time will reduce stability.
  • Background and small areas of ordinary objects are usually more suitable for generative inpainting than faces, text, ID numbers and complex structures.
  • Do not use it to try to reveal other people's coded faces, account numbers, certificates, chat records, private parts or other sensitive information.
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Frequently asked questions

Mosaic and pixelation repair instructions

Is the patched content the original picture under the mosaic?

No. The original pixels have been overwritten and the AI ​​can only generate what looks reasonable based on the surrounding footage, and the result may be completely different from the original footage.

Can it be used to identify coded faces or private information?

Should not be used in this way. The tool cannot truly recover obscured information, nor should it be used to attempt to identify anonymized people, accounts, documents, or other private content.

Which areas are more suitable for generative patching?

Small-area backgrounds, simple textures, and ordinary objects are easier to coordinate; large-area occlusions, faces, text, and regular structures are more likely to generate erroneous content.