Region-Based HDR Image Encoding for Wireless Bandwidth Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless display settings, the uniform encoding of video signals, especially those with high dynamic range (HDR) content, leads to increased wireless link bandwidth usage, power consumption, and cost due to the need for consistent compression across all frames, which is inefficient and costly.
Innovation Solution
Implementing a region-based processing architecture that partitions HDR images into regions of varying luminance levels, allowing for differential encoding based on luminance, where brighter regions receive less compression and darker regions receive more, thereby optimizing bandwidth and power usage without compromising image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform encoding is applied to all frames of video signal, then image quality is maintained consistently, but wireless link bandwidth usage and power consumption increase
Solution Approach 1:
The video frame is segmented into multiple regions based on luminance characteristics (bright regions, dark regions, mid-tone regions). Each region is then encoded independently with appropriate compression levels, allowing differential treatment of different frame portions rather than uniform encoding of the entire frame.
Solution Approach 2:
Different encoding quality levels are applied to different regions of the frame based on their luminance characteristics. Bright regions receive lower compression (higher quality), dark regions receive higher compression (lower quality), and mid-tone regions receive moderate compression. This local quality adaptation maintains overall image quality while reducing total bandwidth usage.
2Device complexity
If uniform encoding is applied to all frames of video signal, then consistent compression is achieved, but wireless link bandwidth usage increases
Solution Approach 1:
The video frame is segmented into multiple regions based on luminance characteristics (bright regions, dark regions, mid-tone regions). Each region is then encoded independently with appropriate compression levels, allowing differential treatment of different frame portions rather than uniform encoding of the entire frame.
Solution Approach 2:
Different encoding quality levels are applied to different regions of the frame based on their luminance characteristics. Bright regions receive lower compression (higher quality), dark regions receive higher compression (lower quality), and mid-tone regions receive moderate compression. This local quality adaptation maintains overall image quality while reducing total bandwidth usage.
3Quantity of substance
If higher compression is applied to reduce bandwidth usage, then bandwidth consumption decreases, but image quality deteriorates
Solution Approach 1:
The video frame is segmented into multiple regions based on luminance characteristics (bright regions, dark regions, mid-tone regions). Each region is then encoded independently with appropriate compression levels, allowing differential treatment of different frame portions rather than uniform encoding of the entire frame.
Solution Approach 2:
Different encoding quality levels are applied to different regions of the frame based on their luminance characteristics. Bright regions receive lower compression (higher quality), dark regions receive higher compression (lower quality), and mid-tone regions receive moderate compression. This local quality adaptation maintains overall image quality while reducing total bandwidth usage.
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
Systems, apparatuses and methods may provide for technology that partitions a high dynamic range (HDR) image into a plurality of regions and determines, on a per region basis, a luminance level of the HDR image. Additionally, the technology may select, on the per image basis, a encoding amount for each region in the plurality of regions based on the luminance level.