Image Processing Intensity Mapping Orthogonal Color Space
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Solution Overview
Problem
Existing intensity mapping techniques for image data in electronic video systems introduce color shifts and are computationally expensive, failing to efficiently adjust image brightness for varying display devices and viewing conditions.
Innovation Solution
An image processing system that converts input image data to a target color space with orthogonal brightness components, performing perceptual quantization only on the brightness component, thereby avoiding color shifts and conserving processing resources by reducing unnecessary computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If intensity mapping is performed on all color components (L, M, S in IPT space), then image brightness is adjusted for different display devices, but color shifts are introduced that corrupt image data
Solution Approach 1:
The patent segments the intensity mapping operation to apply only to the brightness component (I in IPT space, or Y in YUV space) while leaving color components (P and T in IPT, or U and V in YUV) unchanged. This selective application prevents color shifts while maintaining brightness adaptation across different display devices.
Solution Approach 2:
The patent extracts the brightness component from the full color space representation and applies intensity mapping only to this extracted component. By separating brightness adjustment from color information, the method avoids introducing color shifts while still achieving display device adaptation.
2Adaptability or versatility
If intensity mapping is performed on all color components, then brightness adaptation is achieved, but computational resources are excessively consumed
Solution Approach 1:
The patent extracts only the brightness component for intensity mapping operations, eliminating the need to process all color components. This extraction approach significantly reduces computational workload while preserving the essential brightness adaptation functionality.
Solution Approach 2:
By segmenting the processing into brightness component handling and color component preservation, the patent avoids redundant computations on color data that doesn't require intensity mapping. This segmentation improves processing efficiency by focusing computational resources only where needed.
3Measurement precision
If perceptual quantization is applied to all color components, then perceptual accuracy is improved, but processing complexity and resource usage increase
Solution Approach 1:
The patent extracts and applies perceptual quantization only to the brightness component rather than all color components. This selective application maintains perceptual accuracy for brightness perception while reducing processing complexity by excluding color components from the quantization process.
Data Source
AI summary
An image processing system performs intensity mapping in a manner that avoids color shifts and conserves processing resources while adapting image data for a target display device. The image processing system may convert input image data to a target color space in which brightness components are orthogonal to other color components. When intensity mapping is performed on image data, the intensity mapping operations do not induce the color shifts that were created in these other proposals. Resource conservation may be achieved by altering operation of perceptual quantization processes as used in other intensity mapping systems. Where prior proposals performed perceptual quantization on all color components of the image data being processed, the disclosed embodiments perform perceptual quantization on only a brightness color component of image data. Thus, these embodiments avoid resource expenditures that otherwise would be spent on perceptual quantization of two other color components.