2D Array Foveated Processing for ROI-Preserving Compression
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Solution Overview
Problem
Conventional VR equipment experiences image distortion and quality deterioration due to high compression ratios, particularly within the region of interest (ROI), leading to a suboptimal user experience when bandwidth is restricted.
Innovation Solution
A 2D array image foveated processing method that maintains image quality within the ROI and reduces it outside the ROI, using processing level parameters based on distance relationships to perform different compression operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If high compression ratio is applied to the entire 2D array image, then data transmission volume is reduced, but image quality within the ROI deteriorates and distortion increases
Solution Approach 1:
The patent applies different compression ratios to different regions of the image: a first compression ratio is applied to the ROI while a second, higher compression ratio is applied to non-ROI areas. This local differentiation allows the system to reduce overall data transmission volume while preserving image quality within the ROI, directly resolving the technical contradiction between data reduction and image quality maintenance.
2Productivity
If high compression ratio is applied to the entire 2D array image, then bandwidth utilization is improved, but user experience within the ROI deteriorates due to severe distortion
Solution Approach 1:
The patent implements local quality differentiation by applying a first compression ratio to the ROI and a second compression ratio to non-ROI areas. This ensures that the ROI maintains sufficient image quality for acceptable user experience while non-ROI areas achieve higher compression, thereby improving overall bandwidth utilization without sacrificing user experience within the ROI.
Solution Approach 2:
The patent segments the image into two distinct regions: ROI and non-ROI areas. By separating the image processing into these two segments with different compression ratios, the system can optimize bandwidth utilization globally while protecting user experience locally within the ROI, resolving the contradiction between productivity and reliability.
3Device complexity
If uniform compression is applied to the entire image, then processing complexity is reduced, but image quality outside the ROI becomes unnecessarily poor
Solution Approach 1:
The patent applies local quality differentiation by using a first compression ratio for the ROI and a second compression ratio for non-ROI areas. This approach actually increases processing complexity slightly compared to uniform compression, but it prevents the unnecessary degradation of image quality in non-ROI areas, accepting manageable complexity increase to avoid wasteful quality loss.
Data Source
AI summary
A two-dimension (2D) array image foveated processing method and an electronic device applying the same are provided. The 2D array image foveated processing method includes: generating a region of interest (ROI); based on a distance relationship between a target pixel or a target block of a 2D array image to the ROI, generating a processing level parameter of the target pixel or the target block; and performing image region inside processing or image region outside processing on the target pixel or the target block inside or outside the ROI based on the processing level parameter; and compressing the image after being processing by image region inside processing or image region outside processing.