Gamut Mapping Using 3D Brightness Cutting
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Solution Overview
Problem
Existing methods for gamut mapping between transmission and display gamuts are inaccurate, leading to color distortion and errors due to the use of 3×3 matrices and two-dimensional surface representations, which fail to account for the three-dimensional nature of color gamuts.
Innovation Solution
A gamut mapping method that uses a three-dimensional mapping table to obtain brightness values for sampling points, performs equal-brightness cutting on three-dimensional gamut models, and maps colors based on equal-brightness two-dimensional surfaces to achieve precise matching between transmission and display gamuts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a 3×3 matrix is used for gamut mapping, then the mapping process is simple, but the mapping accuracy is low and color distortion occurs
Solution Approach 1:
The patent transitions from two-dimensional gamut representation (x, y coordinates) to three-dimensional gamut representation by incorporating brightness values. This dimensional expansion enables more accurate color mapping by preserving brightness information that was lost in traditional 2D approaches, thereby resolving the contradiction between mapping simplicity and accuracy.
2Device complexity
If a two-dimensional surface representation is used, then the model is simple, but it fails to capture the three-dimensional nature of color gamuts leading to color distortion
Solution Approach 1:
The patent introduces brightness as a third dimension to the traditional two-dimensional gamut representation. By constructing three-dimensional gamut models that include chromaticity coordinates (x, y) and brightness values, the system accurately represents the volumetric nature of color spaces, eliminating color distortion while maintaining reasonable model complexity.
3Ease of operation
If traditional gamut mapping methods are used, then the process is straightforward, but brightness and tone changes occur causing color distortion
Solution Approach 1:
The patent segments the gamut mapping process into distinct stages: obtaining chromaticity coordinates, acquiring brightness values, constructing three-dimensional gamut models, and performing mapping operations. This segmentation allows each step to be optimized independently, maintaining ease of operation while achieving high color restoration accuracy through systematic processing.
Solution Approach 2:
By incorporating brightness as a third dimension, the patent enables mapping operations that preserve both chromaticity and luminance information. This dimensional enhancement allows the system to maintain color accuracy while keeping the overall process straightforward through structured procedural steps.
Data Source
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AI summary
The present disclosure provides a gamut mapping method and a system. The method includes: obtaining a brightness value of each sampling point corresponding to image data of a transmission end on a basis of a three-dimensional mapping table; performing equal-brightness cutting on a three-dimensional gamut model of the transmission end and a three-dimensional gamut model of a display end separately on a basis of the brightness value of each sampling point to form a corresponding equal-brightness two-dimensional surface; and performing color mapping on a basis of the formed equal-brightness two-dimensional surface and outputting mapping data. Hence, during gamut mapping, brightness and tone are kept unchanged, precise matching of three-dimensional gamut mapping from a transmission gamut to a display gamut is realized, avoiding problems of image distortion or a display error or the like due to mapping mismatch between the transmission gamut and the display gamut.