Video Data Intensity Correction for Display Nonlinearity
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Solution Overview
Problem
Conventional video compression methods, such as MPEG-2, VC-1, and AVC, remove higher frequency components, leading to intensity differences when compressed video data is decompressed and displayed, due to nonlinear response of display devices like CRTs, which are not adequately compensated by gamma correction.
Innovation Solution
A system and method that estimate and correct the display intensity of video data by applying a transformation modeling the display device to both the original and reconstructed video data, adjusting the video source based on the difference in estimated display intensities to ensure accurate representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video compression removes higher frequency components, then compression efficiency is improved, but display intensity accuracy deteriorates
Solution Approach 1:
The system applies gamma correction to the compressed video data before display to compensate for the nonlinear response of display devices. This preliminary correction action counteracts the intensity distortion introduced during compression, restoring accuracy without sacrificing compression efficiency
Solution Approach 2:
The system modifies the intensity parameters of the video data by applying a gamma transformation. This parameter change adjusts the nonlinear response characteristics to match the original video's intensity distribution, resolving the accuracy issue while maintaining compression benefits
2Reliability
If gamma correction is applied to compensate for display nonlinearity, then display device response is improved, but intensity accuracy compared to original video deteriorates
Solution Approach 1:
The system uses a feedback mechanism where the compressed video's intensity characteristics are measured and used to adjust the gamma correction parameters. This feedback loop ensures that the correction process restores original intensity accuracy while accounting for display device nonlinearity
Solution Approach 2:
The gamma correction parameters are made dynamic rather than fixed, allowing them to be adjusted based on the specific video content and compression characteristics. This dynamic adaptation enables simultaneous compensation for display nonlinearity and restoration of intensity accuracy
Data Source
AI summary
Presented herein are system(s), method(s), and apparatus for improving the display of compressed video data. In one embodiment, there is presented a method for encoding video data. The method comprises estimating a displayed intensity of a video source displayed on a predetermined display device; estimating a displayed intensity of the reconstruction of the video source displayed on a predetermined display device; and correcting the video source as a function of the estimated displayed intensity of the video source on the predetermined display device and the estimated displayed intensity of the reconstruction of the video source on the predetermined display device.