Image Background Suppression via Local Color Averaging
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Solution Overview
Problem
Conventional image compression methods that compress entire images often result in unsatisfactory reconstructed image quality and file size, with high compression ratios leading to artifacts like blurred text and color boundaries, while low compression ratios fail to reduce file size significantly.
Innovation Solution
The method involves segmenting an image into foreground and background layers, suppressing background pixels by changing their color to an average local background color based on the number of foreground or background pixels in a neighborhood, and applying additional processes like color adjustment, filtering, and compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If high compression ratio is used, then file size is reduced, but image quality deteriorates with artifacts like blurred text and color boundaries
Solution Approach 1:
The image is divided into foreground and background segments, allowing different compression strategies to be applied to each segment. The background is compressed more aggressively while the foreground maintains higher quality, resolving the contradiction between file size reduction and image quality preservation.
Solution Approach 2:
Different compression quality levels are applied to different regions of the image based on their importance. The foreground region receives higher quality compression while the background receives lower quality compression, enabling localized optimization of the quality-size tradeoff.
2Manufacturing precision
If low compression ratio is used, then image quality is maintained, but file size is not substantially reduced
Solution Approach 1:
By segmenting the image into foreground and background, the patent applies selective compression that maintains overall image quality while achieving better compression ratios than uniform compression would allow.
Solution Approach 2:
The patent applies different compression quality levels to different image regions, using aggressive compression for background areas and mild compression for foreground areas, thereby reducing file size while preserving perceived image quality.
3Productivity
If background pixels are suppressed by changing to average local background color, then compression efficiency improves, but may lose background detail information
Solution Approach 1:
The patent modifies the color parameter of background pixels by replacing them with the average local background color, thereby simplifying the background representation and improving compression efficiency while maintaining visual coherence.
Data Source
AI summary
Disclosed are embodiments of systems and methods for suppressing the background of an image. In embodiments, the number of foreground pixels or background pixels within a neighborhood of an identified background pixel may be compared against an aggressiveness threshold. Responsive to the number of foreground pixels within a neighborhood of an identified background pixel not exceeding an aggressiveness threshold, the color of the identified background pixel may be changed to an average local background color. Alternatively, responsive to the number of background pixels within a neighborhood of an identified background pixel exceeding an aggressiveness threshold, the color of the identified background pixel may be changed to an average local background color. In embodiments, additional processes may be performed on the image including, but not limited to, color adjusting, filtering, image enhancing, compression, format conversion, watermarking, special effects, video editing, etc.