LCOS Reflector Control for Dynamic Range Imaging
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Solution Overview
Problem
Current methods for preventing image overexposure in imaging systems, such as LCOS, either compromise image resolution with hardware modifications or reduce frame rate with computationally intensive algorithms, especially in high-speed applications like moving vehicles.
Innovation Solution
A method that models an input image as a linear combination of body and interface reflections, identifies highlight regions, reconstructs color information, and uses least-square estimation to control an LCOS reflector, adjusting reflectivity to mitigate overexposure while maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If hardware modification (anti-blooming cell) is installed to handle transmitting light, then processing speed is improved, but effective resolution of the image deteriorates
Solution Approach 1:
The patent introduces an LCOS reflector as an intermediary component between the imaging system and the light source. This reflector modulates the reflected light path without physically blocking or altering the direct imaging path, thereby maintaining image resolution while enabling dynamic range control for anti-blooming functionality.
2Measurement precision
If conventional image processing algorithms are used for high dynamic range generation, then image quality is improved, but frame rate deteriorates due to computation burden
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing chromaticity information from non-highlight regions before highlight detection and processing. This pre-computed reference data is then rapidly applied during real-time processing, significantly reducing the computational burden during critical frame processing while maintaining high image quality.
3Adaptability or versatility
If image processing is performed on high-speed moving stage (e.g., on a car), then adaptability is improved, but image alignment accuracy deteriorates causing computation result to be influenced
Solution Approach 1:
The patent applies local quality by processing only the highlight regions that require correction, rather than performing global image alignment and processing. By focusing computational resources locally on affected areas and using chromaticity copying from adjacent non-highlight regions, the method maintains accuracy while adapting to high-speed moving conditions where global alignment is difficult.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively reduces image overexposure by selectively modifying reflectivity, improving image quality and maintaining high frame rates even in dynamic environments.
Implementation Method 1
controlling a liquid crystal on silicon (LCOS) which is applied to an optical reflector capable of selectively reflecting light
Data Source
AI summary
A method for controlling reflectivity in imaging system has steps of establishing a model describing the input image is a linear combination of a body reflection and an interface reflection; eliminating the minimum component of RGB for each pixel of the input image, and adding a mean of a sum of the minimum RGB chromaticity of the pixels to the input image to be modified; using a threshold strategy to identify at least one highlight region and at least one non-highlight region in input image; reconstructing color information of the at least one highlight region and obtaining a reconstructed image considering as the body reflection; evaluating the weights of the body reflection and the interface reflection; eliminating the interface reflection term of input image and considering the body reflection term as a reference image; and controlling the LCOS reflector to modify the input image according to the reference image.