Color Gamut Mapping Segmentation and Dynamic Correction
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Solution Overview
Problem
Existing color reproduction methods fail to accurately reproduce gradation and user-preferred hues, saturation, and value when converting colors between different color gamuts, leading to suboptimal image reproduction on secondary devices.
Innovation Solution
A color reproduction method that inputs both color gamuts, applies color correction to distinguish between colors inside and outside the secondary gamut, allows user interface-driven correction, and generates color conversion information to ensure accurate mapping within the secondary gamut.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If clipping is adopted to map colors outside the second color gamut, then the color conversion process is simplified, but gradation of colors in the original color space is lost and multiple colors are reproduced as one color on the surface of the second color gamut
Solution Approach 1:
The patent segments the color conversion process into two distinct methods: clipping for colors outside the second color gamut and compression for colors within the second color gamut. This segmentation allows each method to be applied appropriately to preserve gradation where possible while still handling out-of-gamut colors. The color conversion table creation program divides the color space and applies different mapping strategies to different regions, thereby maintaining color gradation accuracy for in-gamut colors while simplifying the overall conversion process.
Solution Approach 2:
The patent dynamically adjusts the mapping method based on the position of each color relative to the second color gamut. The system determines whether each color falls inside or outside the gamut boundary and automatically selects the appropriate mapping approach. This dynamic selection ensures that colors within the gamut undergo compression to preserve gradation, while colors outside the gamut undergo clipping to achieve valid color mappings, thus resolving the contradiction between process simplicity and gradation preservation.
2Manufacturing precision
If compression is used to map colors within the second color gamut, then color gradation is preserved, but the processing complexity increases compared to simple clipping
Solution Approach 1:
The patent segments the color space into in-gamut and out-of-gamut regions and applies compression only to the in-gamut portion. This segmentation strategy limits the application of complex compression algorithms to only where necessary, while simpler clipping can be used for out-of-gamut colors. The color conversion table creation program efficiently manages this segmentation by identifying gamut boundaries and applying appropriate mapping methods to each segment, thereby reducing overall processing complexity while maintaining gradation accuracy where needed.
Solution Approach 2:
The patent applies different processing qualities to different regions of the color space. Compression, which preserves gradation but increases complexity, is applied locally only to colors within the second color gamut. Clipping, which is simpler but loses gradation, is applied locally to colors outside the gamut. This local quality approach ensures that the increased processing complexity is justified only in regions where gradation preservation is critical, while other regions use simpler processing.
3Productivity
If automatic color conversion is performed without user input, then the process is fast and simple, but the user cannot correct specific colors to match their taste preferences
Solution Approach 1:
The patent performs preliminary automatic color conversion using clipping and compression methods to create an initial color mapping. This preliminary action establishes a baseline conversion that handles the bulk of the color space efficiently. The system then allows users to review and correct specific colors that do not match their preferences. This two-stage approach maintains high productivity through automated preliminary conversion while providing adaptability for user-specific adjustments, resolving the contradiction between speed and user preference accommodation.
Solution Approach 2:
The patent incorporates a feedback mechanism where users can review the automatically converted colors and provide corrections based on their taste preferences. The system accepts user input for specific colors that need adjustment and re-applies the appropriate mapping method (clipping or compression) to achieve the desired result. This feedback loop enables the system to adapt to user preferences while maintaining the efficiency of automatic conversion for the majority of colors, thus balancing productivity and adaptability.
4Ease of manufacture
If the color gamut of the second device is fixed, then the device specifications are clear and simple, but colors from the first color gamut cannot be accurately reproduced when they fall outside the second gamut
Solution Approach 1:
The patent segments the color reproduction process based on the fixed second color gamut boundaries. Colors are divided into two categories: those within the fixed gamut and those outside it. For colors within the fixed gamut, compression is applied to ensure accurate reproduction while maintaining gradation. For colors outside the fixed gamut, clipping is applied to map them to the nearest valid colors within the gamut. This segmentation approach respects the fixed device specifications while maximizing color reproduction accuracy within the constraints of the fixed gamut.
Solution Approach 2:
The patent changes the mapping parameters (clipping vs. compression) based on the position of colors relative to the fixed second color gamut. Although the gamut boundaries themselves remain fixed and clear, the conversion method dynamically adjusts its parameters depending on whether each color falls inside or outside the gamut. This parameter change strategy allows the system to maintain clear device specifications while achieving the best possible color reproduction accuracy within those fixed constraints.
Data Source
AI summary
A method comprising: applying color correction to colors in a first color gamut; displaying, on color space, the second color gamut and color gamut in which the correction is applied to the first color gamut so as to make it possible to distinguish between colors constituting the first color gamut that are determined to be inside of the second color gamut and colors constituting the first color gamut that are determined to be outside of the second color gamut; selecting colors in colors outside of the displayed second color gamut; displaying an interface; determining a correction amount of the selected color in conjunction with the interface; when the selected color is on surface/inside of the second color gamut, displaying that the selected color is on surface/inside of the second color gamut; and applying the correction and generating color conversion information for converting the first color gamut into the second color gamut.