Image Compression Quantization for Selective Area Quality
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Solution Overview
Problem
Current video image compression methods over IP networks result in overall image quality decline, failing to prioritize areas that require more or less data stream, leading to unclear image details for users.
Innovation Solution
A method and device for image compression coding that allows users to select and prioritize specific areas within a video frame, adjusting quantization coefficients to enhance the display quality of selected areas while increasing compression ratios in non-selected areas, thereby optimizing data transmission and image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data compression coding is performed evenly across the entire frame image, then the overall image quality is maintained, but the data transmission efficiency is reduced and important details become unclear
Solution Approach 1:
The patent applies local quality by dividing the image into multiple regions with different quality requirements. Important regions (containing key details) are allocated more bits and higher quality, while less important regions are compressed more aggressively. This resolves the contradiction by maintaining overall image quality through selective high-quality encoding of critical areas while improving data transmission efficiency through aggressive compression of non-critical areas.
Solution Approach 2:
The patent segments the image into multiple regions based on importance, allowing different compression strategies to be applied to each segment. By segmenting the image and applying region-specific quantization coefficients, the system achieves both overall quality maintenance and improved transmission efficiency through differentiated compression rates across different image regions.
2Measurement precision
If more code stream is allocated to certain areas, then the detail quality of those areas is improved, but the overall data transmission load increases
Solution Approach 1:
The patent implements local quality by assigning different quantization coefficients to different image regions based on their importance. Regions containing important details receive smaller quantization coefficients (higher quality, more bits), while less important regions receive larger quantization coefficients (lower quality, fewer bits). This approach improves detail quality where needed while controlling overall data transmission load through selective compression.
3Quantity of substance
If uniform compression is applied to all areas, then the data transmission volume is reduced, but the clarity of important image details is lost
Solution Approach 1:
The patent applies local quality by differentiating compression strength across image regions. Important regions are protected from aggressive compression through lower quantization coefficients, preserving detail clarity, while non-important regions undergo stronger compression to reduce overall data transmission volume. This resolves the contradiction by maintaining detail clarity selectively rather than uniformly.
Solution Approach 2:
The patent segments the image into important and non-important regions, applying different compression strategies to each segment. This segmentation allows the system to reduce overall data transmission volume through compression of non-critical areas while preserving detail clarity in critical areas through selective high-quality encoding.
Data Source
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AI summary
Examples of the present invention provide a method and device for image compression coding. The method includes: obtaining a designated area selected from an image at a decoding side; determining quantization coefficients of the image to make an image compression ratio of the designated area lower than image compression ratios of areas in the image other than the designated area; and performing a compression coding on the image using the determined quantization coefficients of the image. By using the present invention, a video communication system may support a user to select an interested area in a video image, and clearly transmit the interested area selected by the user.