Histogram Matching for Source Image Adaptation
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Solution Overview
Problem
Existing methods for color grading image and video content are lengthy and costly, especially when adapting content for different display types and ambient conditions, often resulting in a loss of creative intent and inconsistent viewing quality across various displays.
Innovation Solution
A partially automated process using progressive histogram matching algorithms to adapt source image content to a target display by calculating and manipulating source histograms to reflect prominent features of the target histogram, ensuring both image quality and color perception requirements are met, while allowing for user influence and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual color grading is performed for each display and ambient condition, then image quality and creative intent are optimized, but time and cost increase significantly
Solution Approach 1:
The system performs preliminary color grading for a reference display condition and stores the graded image data. When adapting to different display conditions, the pre-graded reference image serves as the foundation, eliminating the need to perform complete color grading from scratch for each condition.
Solution Approach 2:
The system changes parameters such as color space, gamma values, and luminance levels to adapt the pre-graded image to different display conditions. By adjusting these parameters rather than performing complete re-grading, the system maintains image quality while significantly reducing processing time.
2Manufacturing precision
If color grading is performed for each display type, then viewing quality is optimized, but cost increases
Solution Approach 1:
The system creates a universal color grading pipeline that can handle multiple display types by using a single reference grading process combined with parameter transformation. This multi-functional approach eliminates the need for separate grading processes for each display type, reducing costs while maintaining quality.
Solution Approach 2:
The system creates a copy of the reference graded image and applies parameter transformations to this copy rather than performing complete grading from the original source for each display type. This copying approach reduces computational costs while maintaining viewing quality across different displays.
3Loss of information
If complete color grading is performed for each display condition, then creative intent is preserved, but processing time increases
Solution Approach 1:
The system performs complete color grading as a preliminary action for a reference condition, preserving creative intent in the reference graded image. Subsequent adaptations to different conditions use this pre-graded reference as a foundation, maintaining creative intent while reducing processing time for each specific condition.
Solution Approach 2:
The system applies partial action by using only the necessary parameter transformations from the reference graded image rather than performing complete grading for each condition. This partial approach is sufficient to adapt to different display conditions while preserving creative intent, significantly reducing processing time.
Data Source
AI summary
Source image content is adapted to a target display. Target image content associated with the target display is provided. A histogram is computed for the target image content. A prominent feature present in the target histogram is determined. A histogram is computed for the source image content. The source content histogram is manipulated to reflect the determined target histogram prominent feature(s). Adapted source image content is generated based on the manipulated source histograms(s). Another prominent feature present in the target histogram is determined. The source histogram is further manipulated to reflect the other prominent determined target histogram features. Further adapted source image content is generated based on the further manipulated source histogram if the adapted source image content has insufficient image quality and perceptual color characteristics.