Monolithic Image Processing for Bayer Sensor Noise Reduction
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Solution Overview
Problem
Digital industrial cameras with Bayer sensors face challenges in generating high-quality images with low latency and high image sharpness while minimizing noise and color aliasing, due to limitations in storage requirements and bandwidth for memory access.
Innovation Solution
A monolithic mathematical image processing method is employed, which processes image data from a single environment to determine correction values for color components, using convolution matrices and directional estimation to reduce noise and enhance image sharpness, thereby minimizing color noise and green-green imbalance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If Bayer sensor with color filter is used to capture color images, then color information can be obtained, but image resolution is reduced to one-quarter of the virtual resolution due to interpolation requirements
Solution Approach 1:
The patent divides the image processing into separate stages: first capturing luminance information at full resolution, then processing color information separately through interpolation. This segmentation allows the luminance channel to maintain full resolution while the color channel accepts interpolated values, resolving the contradiction between obtaining color information and maintaining image resolution.
2Loss of information
If interpolation of missing color information from neighboring pixels is performed, then full color image can be generated, but color differences between neighboring pixels cause artifacts and reduce image quality
Solution Approach 1:
The patent implements feedback mechanisms where the interpolated color values are refined based on local image characteristics and neighboring pixel information. The processing iteratively adjusts color values to minimize artifacts while maintaining color accuracy, thus improving image quality despite the inherent limitations of interpolation.
3Productivity
If conventional debayring and color filter interpolation methods are used, then color image output is achieved, but noise and color aliasing increase
Solution Approach 1:
The patent extracts and processes the luminance information separately from the color information. By taking out the luminance channel and processing it independently at full resolution, the harmful effects of interpolation on color channels (noise and aliasing) are minimized while maintaining fast image output capability.
4Quantity of substance
If memory requirements and bandwidth for memory access are minimized, then resource usage is optimized, but image processing capability and quality are reduced
Solution Approach 1:
The patent segments the image data processing into luminance and color components, allowing luminance information to be processed and stored at full resolution while color information uses compressed or interpolated representations. This segmentation reduces overall memory requirements and bandwidth needs while maintaining image processing quality through the preserved high-resolution luminance channel.
Data Source
AI summary
The invention relates to an image processing device for processing image data from a digital camera comprising an image sensor with a regular pixel arrangement and an associated color filter with a predetermined color pattern. Said image processing device is designed to carry out all image processing operations with respect to a pixel of interest using image data from a single predetermined environment comprising several pixels.