Image Processing Device Using Distinct Color Conversion Data for Low Illuminance Noise Reduction
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Solution Overview
Problem
Existing image processing devices struggle to improve image recognition under low illuminance conditions, particularly at night, due to the generation of black noise when converting color images to black-and-white using the same conversion data as for color images.
Innovation Solution
An image processing device and method that differentiate between color and black-and-white signal processing modes by using distinct color conversion data, including different gains and color conversion matrices, to convert color information into brightness information, thereby reducing black noise in low illuminance conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If identical conversion data is used for both color image and black-and-white image processing, then device complexity is reduced, but black noise is generated in black-and-white images under low illuminance conditions
Solution Approach 1:
The patent divides the conversion data into separate sets: first conversion data for color image processing and second conversion data for black-and-white image processing. This segmentation allows each conversion data set to be optimized for its specific processing mode, preventing black noise generation while maintaining manageable device complexity through organized data separation.
Solution Approach 2:
The patent applies different conversion data characteristics to different processing modes: the first conversion data is optimized for color preservation while the second conversion data is specifically designed for black-and-white conversion with noise reduction. This local quality approach ensures that each processing mode receives the appropriate conversion parameters for its specific requirements.
2Measurement precision
If black-and-white signal processing is used under low illuminance conditions, then image recognition is improved, but black noise is generated when using identical conversion data as color imaging
Solution Approach 1:
The patent changes the conversion data parameters based on the processing mode and illuminance conditions. The second conversion data uses different gain values and color conversion matrix coefficients compared to the first conversion data, specifically optimized for low illuminance black-and-white processing to enhance image recognition while minimizing black noise generation.
3Ease of operation
If color conversion data is applied to black-and-white image conversion, then processing simplicity is maintained, but image clarity is reduced due to black noise
Solution Approach 1:
The patent implements a dynamic selection mechanism that automatically chooses between first conversion data and second conversion data based on the photographing mode and illuminance conditions. This dynamic approach maintains processing simplicity through automated mode detection while ensuring image clarity by applying the appropriate conversion data for black-and-white processing under low illuminance.
Data Source
AI summary
Image processing devices and methods thereof use different color conversion data of an image obtained in a black-and-white mode under a low illuminance condition than that of an image obtained in a color mode.