AI-Generated Images With QR Access to Original Source Data
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Solution Overview
Problem
Existing systems do not provide a mechanism for users to easily access and compare the original image before editing when using generative AI for image editing or generation, especially in scenarios where QR codes are added to black-and-white images generated from color images.
Innovation Solution
An information processing apparatus and method that allows users to input prompts, generate image data using generative AI, and add code information to the image data, enabling access to the original image data through QR codes, which can be read using a smartphone, facilitating easy comparison of before and after editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generative AI is used to edit or generate images, then image processing capability is improved, but ability to access and compare original images is lost
Solution Approach 1:
The patent introduces QR codes as intermediary elements that bridge the generated image and the original image. The QR code contains encoded information (such as URLs or identifiers) that serves as a mediator to retrieve and display the original image, allowing users to access source material without directly embedding it in the generated output.
Solution Approach 2:
The patent creates a simplified copy or representation of the original image access mechanism through QR codes. Instead of storing or displaying the entire original image, the system generates a compact QR code that contains sufficient information to retrieve the original image, effectively copying the access function in a space-efficient manner.
2Ease of operation
If QR code is added to black-and-white image, then color image accessibility is improved, but mechanism for accessing edited image by generative AI is not provided
Solution Approach 1:
The patent extends the QR code mechanism to serve multiple functions: it can reference both original color images (as in prior art) and generated/edited images (new functionality). The system universally applies QR codes to different types of images and access scenarios, making the same technical mechanism adaptable to various use cases including generative AI output verification.
Solution Approach 2:
The patent makes the QR code system dynamic by adapting its content based on the type of image being referenced. The QR code can encode different types of information depending on whether it references an original color image, a generated image, or an edited image, allowing the system to flexibly respond to different operational contexts.
Data Source
AI summary
An information processing apparatus is provided and executes accepting an input of a prompt by a user, and outputting image data generated by adding code information to an image generated by generative AI that uses the input prompt and input image data, in which the code information provides access to the input image data.