Color Deviation Compensation for Miniature Image Sensors
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Solution Overview
Problem
Portable image sensors experience significant color deviation and image distortion due to reduced light transmission and uneven illumination at the corners of the image pickup device, particularly in miniaturized devices where the lens cannot maintain sufficient distance and equal photon distribution.
Innovation Solution
An apparatus and method that analyze luminance changes across the image, generate compensation tables for each quadrant, and apply these tables to correct color deviation by interpolating compensation values for boundary pixels, thereby generating a compensation image to correct color imbalance and distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If the lens is made smaller and closer to the image pickup device to miniaturize the portable apparatus, then the device size is reduced, but light transmission is insufficient and color deviation occurs at the corners
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing compensation values for each pixel position in a lookup table before image processing. The system determines the degree of color deviation for each pixel based on its distance from the image center and applies the corresponding compensation value, thereby proactively correcting the light transmission insufficiency and color deviation caused by the compact lens design.
2Length of moving object
If the lens is positioned closer to the image pickup device, then the device becomes more compact, but uneven illumination and color deviation at corners increase
Solution Approach 1:
The patent applies local quality by implementing position-dependent compensation where each pixel receives a customized compensation value based on its specific location in the image. The system divides the image into regions (center and corners) and applies different compensation strengths, with corner pixels receiving greater compensation for their severe color deviation. This localized approach ensures that each region's color uniformity is optimized according to its specific illumination characteristics.
3Measurement precision
If more pixels are allocated to green to improve luminance resolution, then luminance data quality increases, but color balance and saturation may be compromised
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the compensation values for red, green, and blue color components based on the pixel's position and the detected color deviation. The system calculates separate compensation values for each color channel, allowing independent optimization of luminance (driven by green pixels) and color balance. This enables the system to maintain high luminance resolution while correcting color imbalances through parameter adjustment rather than changing the physical pixel distribution.
Data Source
AI summary
An aspect of the present invention features an apparatus for compensating color deviation of an image that has uneven color deviation. The apparatus can comprises: a color deviation analyzing module that analyzes luminance of each color component of each pixel composing the image and determines a color component having the highest or lowest rate of luminance change as an object color component, wherein the rate of luminance change is analyzed in the direction from a central pixel to a corner pixel of the image; a compensation table generating module that creates a plurality of sections from a beginning point, depending on a distance from the central pixel, and generates a compensation table for boundary pixels of each section with compensation values that are produced based on the luminance of the object color component; a compensation image generating module that generates a compensation image for the whole image, using the compensation table; and a compensating module that compensates the color deviation by applying the compensation image to the image.