Green Image Data Processing for Visually Lossless Compression
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Solution Overview
Problem
Current digital video cameras use lossy image processing and compression techniques that are not suitable for high-end markets, particularly in the major motion picture industry, as they eliminate too much raw image data, compromising video quality.
Innovation Solution
The method involves modifying green image data to enhance compressibility while maintaining high video quality by subtracting green channel data from red and blue channel data, using techniques like spatial decorrelation and prediction, allowing for cinema-quality resolution and frame rates with improved compression ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If lossy image processing and compression techniques are used, then compression ratio is improved, but video quality deteriorates
Solution Approach 1:
The patent transforms the color space parameters by converting RGB image data to YCbCr color space, where Y represents luminance and Cb/Cr represent chrominance. This parameter transformation allows the compression algorithm to operate on differently weighted components, preserving visually critical luminance information while allowing greater compression of less critical chrominance data, thereby achieving high compression ratios without significant quality loss
Solution Approach 2:
The patent extracts and separately processes different color components (luminance Y and chrominance CbCr) from the original image data. By separating these components and applying different compression strategies to each, the system can achieve higher overall compression ratios while maintaining visual quality, as the human eye is more sensitive to luminance variations than chrominance variations
2Manufacturing precision
If high resolution video is captured, then video quality is improved, but data volume increases
Solution Approach 1:
The patent applies parameter transformation by converting high-resolution RGB data to YCbCr color space and then applying differential compression to different color components. This allows the system to maintain high resolution and visual quality while reducing the effective data volume through selective compression of less visually critical chrominance channels
Solution Approach 2:
The patent applies partial compression action by fully preserving luminance (Y) component data while applying compression to chrominance (CbCr) components. This partial action approach maintains the visually critical high-resolution luminance information while reducing overall data volume through compression of the less critical color information
Data Source
AI summary
Embodiments provide a video camera that can be configured to highly compress video data in a visually lossless manner. The camera can be configured to transform blue, red, and/or green image data in a manner that enhances the compressibility of the data. The camera can be configured to transform at least a portion of the green image data in a manner that enhances the compressibility of the data. The data can then be compressed and stored in this form. This allows a user to reconstruct the red, blue, and/or green image data to obtain the original raw data or a modified version of the original raw data that is visually lossless when demosaiced. Additionally, the data can be processed in a manner in which at least some of the green image elements are demosaiced first and then the red, blue, and/or some green elements are reconstructed based on values of the demosaiced green image elements.