Dynamic Color Transform for Imaging Systems
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Solution Overview
Problem
Imaging systems face limitations in performance and practicality due to the characteristic quality and divergence of output stimuli, which affect image quality and brightness, and result in visual artifacts.
Innovation Solution
A universal image processing method that self-initializes and adapts to various color output stimuli by converting input image components into output components commensurate with the actual optical characteristics of the imaging system, using a color module to determine and respond to hue, luminance, and chrominance, enhancing image quality and reducing artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a fixed color transformation matrix is used, then the processing speed is maintained, but the image quality and brightness deteriorate due to mismatch with actual optical characteristics
Solution Approach 1:
The patent implements dynamic color transformation by measuring actual optical characteristics (hue, luminance, chrominance) of the imaging system and adapting the transformation matrix in real-time. This replaces fixed matrices with dynamic ones that self-adjust to match the actual optical properties, thereby improving image quality and brightness while maintaining processing efficiency through automated adaptation.
Solution Approach 2:
The patent employs feedback mechanisms where the imaging system measures its actual optical characteristics and feeds this information back to the color processing module. The processed images are then evaluated, and the transformation matrix is adjusted accordingly. This closed-loop feedback ensures continuous optimization of image quality and brightness by aligning the color transformation with actual optical performance.
2Manufacturing precision
If color transformation is applied to enhance image quality, then visual artifacts increase due to divergence from actual optical characteristics
Solution Approach 1:
The patent changes the parameters of color transformation by measuring actual optical characteristics (hue, luminance, chrominance values) and using these measured parameters to generate customized transformation matrices. This parameter adaptation ensures that the color transformation accurately reflects the imaging system's real optical behavior, thereby enhancing image quality while minimizing visual artifacts caused by mismatched transformations.
3Illumination intensity
If adaptive color transformation is implemented, then image brightness is enhanced, but processing time increases
Solution Approach 1:
The patent performs preliminary measurement of the imaging system's optical characteristics during system initialization or calibration phase. The measured hue, luminance, and chrominance values are stored and used to pre-compute optimal transformation matrices. This preliminary action eliminates the need for time-consuming real-time measurements during actual image processing, thereby enhancing brightness through adaptive transformation while minimizing processing time delays.
Data Source
AI summary
In a method embodiment, a method for image processing includes receiving one or more signals indicative of an optical characteristic of one or more respective light beams. A transform is generated based on the received one or more signals. The transform converts a first plurality of image components encoded by a first plurality of colors to a second plurality of image components encoded by a second plurality of colors.