Parameterized Color Profile for Nonstandard Image Spaces
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Solution Overview
Problem
Color management systems face challenges in accurately translating nonstandard color spaces due to variations in device gamuts, leading to issues like color banding and shifts, especially when handling images with arbitrary component ranges, offsets, and bit depths.
Innovation Solution
The development of parameterized color profiles that accommodate nonstandard data encodings, allowing for precise chromatic adaptation and transcoding across multiple stages of the image processing pipeline, independent of bit depth, using a defined color profile architecture that includes matrix and curve transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard color profile architectures are used for nonstandard color spaces, then device compatibility is maintained, but color accuracy deteriorates due to quantization errors and clipping
Solution Approach 1:
The color conversion process is divided into multiple processing stages, each handling specific aspects of the transformation. The first stage processes the linearized image data with range and offset adjustments, the second stage performs the matrix transformation to chromatic adaptation color space, and the third stage applies chromatic adaptation. This segmentation allows each stage to be optimized for its specific function, preventing quantization errors and clipping while maintaining compatibility with standard color profile architectures.
Solution Approach 2:
The image data is linearized and adjusted for range and offset before being passed to the color conversion stages. This preliminary processing ensures that the data is in the correct format and scope for subsequent transformations, preventing clipping and quantization errors from occurring during the color space conversion. The white point adaptation is also prepared in advance to ensure accurate chromatic adaptation.
2Measurement precision
If multistage transforms are implemented to handle parameterized color spaces, then color accuracy is improved, but processing complexity increases
Solution Approach 1:
The complex color conversion process is segmented into three distinct processing stages, each with a specific function. This segmentation makes the overall complex process more manageable and implementable within standard color profile architectures. Each stage can be independently optimized and implemented using existing color management infrastructure, reducing the practical complexity despite the increased precision requirements.
3Reliability
If chromatic adaptation is applied according to white point, then color fidelity is improved, but processing time increases
Solution Approach 1:
The white point and chromatic adaptation parameters are determined and prepared in advance during the color profile generation process. This preliminary action allows the chromatic adaptation to be applied efficiently during image processing, as the adaptation parameters are already calculated and ready for use. The third processing stage applies the pre-computed chromatic adaptation, reducing the processing time required during actual image conversion while maintaining color fidelity.
Data Source
AI summary
Systems and techniques support color management of an image with a parameterized image color space. In general, in one implementation, a color profile that conforms to a defined color profile architecture and that defines a multistage color space transform is generated. The image includes a parameterized encoding of an image color space with image parameters defining a range and an offset of an image component of the image, and a white point of the image color space. Generation of the color profile involves affecting two or more stages of the multistage transform based on the image parameters. Image processing precision can be increased by fitting output to input data scopes between two or more stages. The image parameters of the parameterized encoding can define ranges, offsets, and bit depths of image components of the image, and the color profile can be a bit-depth independent color profile.