Frequency Domain Color Stain Analysis in Image Sensors
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Solution Overview
Problem
Electronic devices with image sensors often produce images with color stains due to insufficient light, leading to low-quality images, particularly in dark environments, as existing technologies fail to effectively analyze and mitigate these stains.
Innovation Solution
An electronic device equipped with a frequency analyzing circuit, color difference calculating circuit, and color stain classifying circuit that processes image signals to generate frequency-weighted data, calculates color difference values, and evaluates noticeable color stains based on observer sensitivity and environmental factors, allowing for the analysis and potential removal of color stains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If image capture is performed in dark environments, then the device can operate in low-light conditions, but color stains appear and image quality deteriorates
Solution Approach 1:
The patent applies preliminary action by performing frequency analysis and color difference calculation on image signals before final image processing. The system pre-identifies potential color stain regions by converting image signals to frequency domain data and comparing color differences between adjacent pixels, allowing color stain suppression to be applied proactively to maintain image quality in low-light conditions
Solution Approach 2:
The patent utilizes parameter changes by transforming image signals from spatial domain to frequency domain, and by adjusting color difference thresholds based on frequency weight values. The system changes the representation parameters of image data (spatial to frequency domain conversion) and dynamically adjusts processing parameters (color difference thresholds) to effectively detect and suppress color stains while preserving image quality
2Measurement precision
If frequency analysis and color difference calculation are performed on all image data, then color stain detection accuracy improves, but processing time and computational complexity increase
Solution Approach 1:
The patent applies local quality by performing frequency analysis and color difference calculation selectively on specific frequency components rather than uniformly processing all image data. The system calculates frequency weight values for different frequency components and applies color difference calculation primarily to frequency bands where color stains are most likely to occur, thereby improving detection accuracy while reducing overall processing time
Solution Approach 2:
The patent implements partial action by performing complete frequency analysis on selected frequency components while using simplified or threshold-based processing for other components. The system applies full color difference calculation only to pixels or regions where frequency weight values indicate high probability of color stains, and uses simpler methods for other regions, balancing detection accuracy with processing efficiency
Data Source
AI summary
An electronic device includes a frequency analyzing circuit and a color difference calculating circuit. The frequency analyzing circuit receives an image signal including information about a subject, may convert the image signal into first color data which are based on a first color domain, converts the first color data into frequency data which are based on a frequency domain, and applies frequency weights corresponding to the frequency data to the first color data to generate processed color data. The color difference calculating circuit calculates color difference values for evaluating a color stain generated by the image signal, based on the processed color data. The frequency weights are selected based on sensitivity information of an observer according to a frequency change of the frequency data.