RGBW Image Processing Device False Color Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Image processing devices with RGBW color filters face challenges in generating high-quality color images due to decreased sampling rates of RGB components, leading to false colors and reduced resolution, especially with smaller pixels and optical lenses having chromatic aberration.
Innovation Solution
An image processing device that performs a data conversion process using a parameter calculation unit to interpret two-dimensional pixel arrangements, calculating parameters based on correlation information and edge detection to convert RGBW data into RGB data, reducing false colors and enhancing image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If an RGBW arrangement is used to increase light penetration rate and sensitivity, then sensitivity is improved, but false color occurs due to decreased sampling rates of RGB components
Solution Approach 1:
A parameter calculation unit is introduced as an intermediary component that calculates conversion parameters based on correlation information between pixels. This mediator processes the RGBW data to generate accurate RGB output, resolving the false color issue caused by the intermediate W pixels in the RGBW arrangement.
Solution Approach 2:
The patent applies parameter changes by dynamically calculating conversion parameters based on local image characteristics such as correlation information, edge directions, and texture information. These parameter changes enable adaptive demosaicing that maintains high sampling accuracy despite the reduced RGB pixel density in RGBW arrangements.
2Illumination intensity
If an RGBW arrangement is used to increase light penetration rate, then sensitivity is improved, but resolution is decreased due to decreased concentration rate of RGB wavelength components
Solution Approach 1:
The patent dynamically adjusts conversion parameters based on local image characteristics including correlation information, edge directions, and texture information. This parameter adaptation enables high-resolution reconstruction by optimizing the interpolation process for different regional features, compensating for the reduced RGB pixel density.
Solution Approach 2:
The parameter calculation unit performs preliminary calculations of conversion parameters before the actual pixel value conversion. By pre-calculating parameters based on correlation information and edge detection, the system prepares optimized conversion data that maintains resolution during the subsequent pixel value generation process.
3Ease of operation
If conventional demosaicing processes are used on RGBW data, then color image generation is achieved, but false color occurs in edge regions due to uniform color rate assumption
Solution Approach 1:
The patent introduces dynamic adaptation by detecting edge directions and texture information in different regions of the image. The conversion parameters are dynamically adjusted based on these detected features, allowing the demosaicing process to adapt to local image characteristics rather than applying a uniform assumption throughout the entire image.
Solution Approach 2:
The patent applies different conversion parameters to different regions of the image based on local characteristics such as edge directions and texture information. This local quality approach ensures that each region is processed with parameters optimized for its specific features, preventing false colors in edge regions while maintaining overall color accuracy.
Data Source
AI summary
A device and method for generating RGB arrangement data from an imaging signal by a photograph imaging device having an RGBW arrangement are provided. An edge detection unit analyzes an output signal in the RGBW arrangement from the imaging device, and thus obtains edge information corresponding to each pixel, and a texture detection unit generates texture information. Furthermore, a parameter calculation unit performs an interpolation process of converting an application pixel position according to the edge direction corresponding to a conversion pixel. A blend process unit inputs a parameter which the parameter calculation unit generates, edge information and texture information, and determines a conversion pixel value by performing a blend process by changing a blend ratio of the parameter which the parameter calculation unit calculates, according to the edge information corresponding to the conversion pixel and the texture information.