Color Grading Multi-View Video via Histogram Matching
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Solution Overview
Problem
Color grading of stereoscopic 3D video content is time-consuming, expensive, and often results in mismatches between color and luminance characteristics of different views, leading to fatigue and degraded image quality for viewers.
Innovation Solution
A method and apparatus for color grading second view video content based on the color grading of a first view, using progressive histogram reshaping to match the histogram data of the second view to that of the first view, ensuring improved color and luminance consistency, which involves obtaining target histogram data, adjusting the second view video content, and applying color grading operations from the first view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If color grading is performed manually on each video stream separately, then color consistency can be maintained, but the process becomes time-consuming and expensive
Solution Approach 1:
The patent applies the copying principle by automatically transferring color grading parameters from a reference view to other views. Instead of manually grading each stream separately, the system creates a copy of the color grading operations performed on the reference view and applies them to other views, significantly reducing time while maintaining consistency through automated parameter transfer
Solution Approach 2:
The system performs preliminary color grading on a reference view first, then uses those established parameters to automatically grade other views. This preliminary action on one view prepares the color grading parameters that will be subsequently applied to other views, reducing the overall time required for multi-view color grading
2Productivity
If color grading is applied to only one video stream (reference view), then the grading process is simplified and faster, but mismatches in color and luminance characteristics occur between views
Solution Approach 1:
The patent implements feedback by using the reference view as a standard and automatically comparing other views against it. The system adjusts color and luminance parameters of non-reference views based on feedback from histogram analysis, ensuring that all views match the reference view's characteristics while maintaining grading speed
Solution Approach 2:
The system automatically changes parameters such as exposure, white balance, and color tone in non-reference views to match the reference view. By dynamically adjusting these parameters based on histogram data comparison, the system achieves color consistency across views without manual intervention, maintaining both speed and accuracy
3Productivity
If automatic color grading is applied to all views, then processing time is reduced, but color and luminance mismatches between views increase
Solution Approach 1:
The patent applies local quality by treating the reference view differently from other views. The reference view serves as the quality standard with its color grading manually or carefully adjusted, while other views automatically adapt to match it. This local differentiation ensures that the most important view maintains high quality while others conform to it
Data Source
AI summary
Methods and apparatus for color grading stereoscopic and autostereoscopic (multi-view) view video content are provided. Video content for one view is adjusted so that a histogram of the adjusted video data is more similar to a target histogram than the original, unadjusted video content for the one view. The adjusted video content is automatically color graded based on a color grading of video content for another view. The target histogram may be calculated for the video content for the other view.