Image Fusion Across SDR and HDR Color Spaces
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Solution Overview
Problem
Images under different color display standards, such as SDR and HDR, cannot be effectively superposed and fused due to differences in color space and brightness range, resulting in abnormal color effects in the fused image.
Innovation Solution
An image processing method that converts pixels from one color space to optical signals under a common color display standard, performs weighted fusion based on light transmittance, and then converts back to the desired color space to create a fused image, ensuring compatibility and maintaining expected effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If images under different color display standards are directly superposed and fused, then the processing is simple and fast, but the color and brightness of the fused image become abnormal
Solution Approach 1:
The patent introduces an intermediary conversion process where images under different color display standards are first converted to a common color space (e.g., XYZ or LMS) before fusion. This intermediary representation acts as a bridge that preserves color information while enabling accurate fusion, thereby resolving the contradiction between processing simplicity and color accuracy.
Solution Approach 2:
The patent transforms color parameters from different color spaces into a unified parameter system. By changing the representation parameters of color and brightness to a common basis, the method enables accurate fusion while maintaining processing efficiency, thus resolving the contradiction between fusion speed and color accuracy.
2Manufacturing precision
If color conversion and optical signal transformation are performed before fusion, then color accuracy is maintained, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary color space conversion and optical signal transformation before the fusion operation. By preparing the images in advance with proper color space alignment and optical signal representation, the actual fusion process becomes simpler and more accurate, thereby resolving the contradiction between color accuracy and processing complexity.
Solution Approach 2:
The patent replaces complex color manipulation operations with mathematical transformations in a unified color space. By substituting the mechanical/color-space-specific fusion operations with general mathematical operations in XYZ or LMS space, the system achieves color accuracy while reducing overall processing complexity.
Data Source
AI summary
An image processing method and related apparatuses are provided. The method includes: converting colors of pixels of a foreground image from colors in a first color space of a first color display standard into optical signals under a second color display standard to obtain a first optical signal set; converting colors of pixels of a background image from colors in a second color space of the second color display standard into optical signals under the second color display standard to obtain a second optical signal set; fusing the optical signals in the first optical signal set and the second optical signal set based on a light transmittance of the foreground image to obtain a third optical signal set; and converting optical signals in the third optical signal set into colors in the second color space to obtain a fused image of the foreground image and the background image.