Video Pipeline Color Correction for Non-Uniform Backgrounds
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Solution Overview
Problem
Existing image and video processing systems struggle to accurately adjust color and brightness when projecting or overlaying images on non-uniform backgrounds, leading to incorrect color and brightness perception and reduced image quality.
Innovation Solution
A system and method that utilize a secondary video source to superpose and correct a video stream in real-time, calculating weighting factors for individual pixels or pixel sets based on background parameters such as chromaticity, brightness, and reflection, and applying pre-calculated color manipulation matrices to achieve accurate color and brightness adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color calibration is performed using conventional methods with fixed calibration matrices, then color accuracy is maintained for uniform backgrounds, but color and brightness perception becomes incorrect when projecting on non-uniform backgrounds
Solution Approach 1:
The patent applies dynamics by transitioning from fixed calibration matrices to dynamic, content-dependent calibration. The system analyzes video content characteristics (brightness, contrast, color distribution) and adjusts calibration parameters in real-time, allowing the color correction to adapt to non-uniform backgrounds while maintaining accuracy for uniform ones.
Solution Approach 2:
The patent changes calibration parameters based on content analysis. By measuring video stream characteristics such as luminance distribution, chromaticity, and contrast ratios, the system modifies calibration matrices and weighting factors to match the specific background conditions, thereby maintaining color accuracy across diverse environments.
2Measurement precision
If content-dependent calibration is applied to enhance color perception on non-uniform backgrounds, then color perception accuracy improves, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating multiple calibration matrices corresponding to different content types and background conditions. These pre-computed matrices are stored and selected based on content analysis, avoiding the need for complex real-time calculations while still achieving adaptive color correction.
Solution Approach 2:
The system manages complexity by changing a limited set of key parameters (calibration matrix selection, weighting factors) rather than recomputing entire correction algorithms. This selective parameter adjustment maintains high color perception accuracy while keeping computational requirements manageable.
3Productivity
If conventional calibration methods are used without background analysis, then processing speed is maintained, but image quality deteriorates on non-uniform surfaces
Solution Approach 1:
The patent applies partial action by analyzing only the most critical content parameters (overall brightness, contrast, dominant colors) rather than performing comprehensive pixel-by-pixel analysis. This selective analysis maintains processing speed while providing sufficient information to adjust calibration and improve image quality on non-uniform backgrounds.
Solution Approach 2:
The patent substitutes complex mechanical processing with more efficient algorithms. Instead of processing every pixel individually, the system uses statistical analysis of video stream characteristics to derive calibration parameters, replacing computationally intensive pixel-level processing with faster content-level analysis.
Data Source
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AI summary
A system (100) is provided for facilitating an enhanced video pipeline in order to improve color perception. The system comprises a first source (101) configured to generate a first video stream (113), a second source (102) configured to generate a second video stream (114), and a computing device (103). In this context, the computing device (103) is configured to superpose the first video stream (113) onto the second video stream (114), thereby generating an output video stream (115). The computing device (103) is further configured to calculate weighting factors for individual pixels or discrete pixel sets of adjacent individual pixels of the output video stream (115) by analyzing the first video stream (113) and/or the second video stream (114).