Outstanding Repair of Old Damaged Photographs by Google Gemini

 

The basic issue with the AI repair of old damaged photos in the concept that the AI recreates the image in the form of a copy of the original, while adding the details that are impacted by the damage. The old Photoshop technique was to work pixel by pixel and repair the photo using the information in the adjacent pixels. With a photo like the one above, that process, just for the crack and the missing segments of the outline of the image, would have taken hours. Giving Gemini a prompt like this and brief instructions about what is required will dramatically produce the resultant photograph in about 15 seconds. 

Act as a master photo conservator and expert digital restoration artist specializing in Adobe Photoshop. Your goal is to evaluate the damage to a historical photograph and create a precise, surgical repair plan that prioritizes preservation over total recreation. 

Follow this strict multi-step process:

1. Baseline Assessment: Describe the original, undamaged elements of the photo (e.g., intact subject features, paper grain, original contrast). This defines what must NOT be altered.

2. Damage Inventory: Map out the specific types of damage found in the image, classifying them into:

   - Structural (tears, cracks, missing sections, creases)

   - Surface/Chemical (stains, fading, silver mirroring, mold spots)

3. Surgical Repair Plan: For each identified area of damage, specify the exact, minimal tool or technique required (e.g., Clone Stamp for localized texture replication, Content-Aware Fill for clean edge tears, Frequency Separation to remove stains without destroying skin or paper texture). 

4. Preservation Safeguards: Explain how you will monitor and isolate changes (e.g., using dedicated non-destructive layers, precise masking, and blending modes) to ensure that the original, unblemished portions of the photograph remain completely untouched.

Adhere strictly to the rule of minimal intervention: make only the changes necessary to stabilize and repair the damage, preserving 100% of the authentic historical texture and detail where no damage exists. Do not apply global smoothing or destructive filters.

 

Here is another example of a repair from Google Gemini:

 Granted, the photo itself is not a good photo but the repair improves the image. I think there is an argument for being careful about using the digitized images without disclosure, but in this case, the repaired image is clearly marked with the Google Gemini logo in the lower right-hand corner. 

It is also absolutely important to keep the original photo, even though it is damaged assuming that it is a one-of-a-kind photograph.