Pixel Array Correction for Cluster Flaws in Photoelectric Conversion
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Solution Overview
Problem
Existing flaw correction methods in image processing deteriorate image quality due to inaccurate correction of flaw pixels, particularly in cases of cluster flaws caused by crosstalk in photoelectric conversion systems.
Innovation Solution
A processing apparatus that includes a first storage unit for array data based on pixel outputs, a second storage unit for correction data, and a correction unit with a calculation unit that corrects pixel outputs using the stored data. This apparatus extracts flaw pixels, generates correction arrays, and performs calculations to accurately correct flaw distributions in images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional flaw correction methods are used to replace flaw pixel outputs with average values of surrounding pixels, then the correction process is simple, but the accuracy of flaw correction deteriorates and image quality deteriorates
Solution Approach 1:
The patent segments the correction process into multiple stages: first identifying flaw pixels through comparison with surrounding pixels, then calculating correction values based on the specific flaw characteristics, and finally applying the correction. This segmentation allows for more precise correction while maintaining systematic simplicity.
Solution Approach 2:
The patent performs preliminary actions by storing correction data in advance and identifying flaw pixels before final image output. The correction values are pre-calculated based on surrounding pixel values, allowing for accurate correction without complex real-time processing during image display.
2Productivity
If conventional flaw correction methods are used, then the processing is fast, but residual flaws remain and image quality deteriorates
Solution Approach 1:
The patent implements feedback by using the output values of surrounding pixels to calculate correction values for flaw pixels. The correction process continuously references the actual pixel data, ensuring that corrections are based on real-time image characteristics rather than fixed algorithms, thereby eliminating residual flaws while maintaining processing efficiency.
Solution Approach 2:
The patent replaces simple mechanical averaging with a more sophisticated calculation system that considers the specific relationships between flaw pixels and surrounding pixels. This substitution enables more accurate correction without significantly increasing processing complexity, as the system uses efficient algorithms to calculate correction values based on pixel neighborhoods.
3Power
If cluster flaws caused by crosstalk are present in photoelectric conversion systems, then the photoelectric conversion efficiency is high, but the accuracy of flaw correction deteriorates
Solution Approach 1:
The patent applies local quality by treating different regions of the image differently based on their characteristics. Flaw pixels are identified and corrected using specific algorithms that consider their local neighborhood, while non-flaw pixels remain unchanged. This localized approach allows for accurate correction of cluster flaws without affecting the overall high photoelectric conversion efficiency of the system.
Solution Approach 2:
The patent changes parameters by dynamically calculating correction values based on the actual output values of surrounding pixels rather than using fixed correction factors. This parameter adaptation allows the system to handle cluster flaws effectively while maintaining the high efficiency of the photoelectric conversion process, as the correction is applied only where needed and based on actual measured values.
Data Source
AI summary
A processing apparatus includes a first storage unit for storing first array data that is based on output values of a plurality of pixels arranged in an array, a second storage unit having second array data stored therein to be used for correction of the output values from the plurality of pixels, and a correction unit including a calculation unit that corrects an output value of at least one pixel of the plurality of pixels based on the first array data and the second array data.