Compressed Media Transmission Using GAN Pixel Prioritization
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Solution Overview
Problem
Existing methods for transmitting digital images randomly compress pixels, resulting in a loss of fidelity in the reconstructed image.
Innovation Solution
A system utilizing a pre-trained generative adversarial network (GAN) to prioritize pixels based on Class of Service (CoS) groups, transmitting high priority pixels uncompressed and compressing low priority pixels, then regenerating the image at the receiving end.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pixels are randomly compressed to improve transmission rate, then transmission efficiency is improved, but image fidelity is degraded
Solution Approach 1:
The patent applies local quality by differentiating pixel importance and applying different compression strategies to different regions. Critical pixels (those essential for image reconstruction) are transmitted uncompressed or with higher quality, while non-critical pixels are compressed more aggressively. This selective approach maintains overall image fidelity while improving transmission efficiency.
Solution Approach 2:
The patent segments the image into different pixel priority groups based on their importance for reconstruction. By dividing pixels into categories (e.g., critical vs. non-critical), the system can apply differentiated compression techniques to each segment, resolving the contradiction between compression efficiency and reconstruction quality.
2Manufacturing precision
If all pixels are transmitted uncompressed to maintain image quality, then image fidelity is preserved, but transmission time increases
Solution Approach 1:
The patent applies partial action by transmitting only the necessary portion of pixel data in full quality (critical pixels) while compressing the remaining data. This selective transmission maintains sufficient image quality for reconstruction while reducing overall transmission time compared to transmitting all pixels uncompressed.
Solution Approach 2:
The patent changes the compression parameter (quality level) based on pixel importance. By dynamically adjusting compression parameters for different pixel groups rather than applying a uniform compression level, the system achieves faster transmission while maintaining acceptable image quality through intelligent parameter differentiation.
3Productivity
If low priority pixels are compressed to increase transmission speed, then transmission efficiency is improved, but reconstruction accuracy is reduced
Solution Approach 1:
The patent applies local quality by identifying and protecting critical pixels from aggressive compression while allowing non-critical pixels to be compressed. This localized quality preservation ensures that the most important pixel data maintains high accuracy, enabling successful image reconstruction even when other pixels are heavily compressed.
Solution Approach 2:
The patent introduces an intermediary classification mechanism that evaluates pixel importance before compression. This intermediary step (pixel priority assignment) acts as a mediator between transmission efficiency requirements and reconstruction accuracy needs, directing compression resources to where they are least impactful.
Data Source
AI summary
An embodiment for transmitting and regenerating compressed media is provided. The embodiment may include receiving an image selected by a sender to be transmitted. The embodiment may also include sending the image to a pre-trained generative adversarial network (GAN) model. The embodiment may further include identifying a first set of one or more pixels in the image assigned to one or more high priority Class of Service (CoS) groups and a second set of one or more pixels in the image assigned to one or more low priority CoS groups. The embodiment may also include compressing the one or more pixels in the second set. The embodiment may further include transmitting the one or more pixels in the first set and the compressed one or more pixels in the second set to a recipient in an order from a highest priority CoS group to a lowest priority CoS group.