Gamma Value Adjustment for Seamless Video Synthesis
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Solution Overview
Problem
Conventional video systems require complex manual adjustments of gamma values and color temperatures to achieve seamless synthesis of optically overlapped video images, leading to inefficient processing and potential pixel dropouts.
Innovation Solution
A processing apparatus and computer program that automate the adjustment of gamma values by removing gamma processing from overlapping video images using look-up tables, synthesizing the images, and re-applying gamma processing to ensure uniform brightness and seamless integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment of gamma values and color temperatures is performed to achieve seamless synthesis of optically overlapped video images, then uniform brightness and seamless integration are improved, but processing complexity and time consumption increase
Solution Approach 1:
The system performs self-adjustment of gamma values by automatically detecting brightness differences at seam portions and correcting them through gamma value modification, eliminating the need for manual operator intervention and achieving uniform brightness autonomously
Solution Approach 2:
The system implements feedback control by measuring actual brightness values at seam portions, comparing them against target values, and iteratively adjusting gamma values to minimize brightness differences, ensuring seamless integration through continuous optimization
2Manufacturing precision
If manual tuning of gamma values is performed to achieve uniform brightness, then brightness uniformity is improved, but processing time and operational efficiency deteriorate
Solution Approach 1:
The system replaces manual mechanical adjustment operations with automated computational processing, using algorithms to calculate optimal gamma values and apply corrections programmatically, thereby dramatically improving processing efficiency while maintaining precision
Solution Approach 2:
The system performs preliminary detection of brightness differences and pre-calculates required gamma adjustments before final synthesis, allowing efficient batch processing and reducing overall processing time by preparing correction parameters in advance
3Speed
If gamma processing is not removed before synthesis, then processing speed is improved, but pixel dropouts and synthesis quality deteriorate
Solution Approach 1:
The system extracts and removes gamma processing components from video data before synthesis operations, isolating the non-linear brightness characteristics that cause synthesis defects, thereby enabling defect-free synthesis while maintaining efficient processing through targeted intervention
Data Source
AI summary
To provide a processing apparatus for performing synthesis of video data to which video data of optically overlapped (duplicated overlap) video images are imparted. An image processor includes gamma removal units 810, 811, and 812 which remove gamma processing performed on video data to which video data of optically overlapped (duplicated overlap) video images are imparted, a video synthesis unit 825 which synthesizes video data adjacent to each other in the video data from which the gamma processing is removed, and a gamma addition unit 826 which re-performs gamma processing on the synthesized video data.