OB Floating Detection in Light-Shielded Pixel Signal Processing
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Solution Overview
Problem
The existing methods for determining OB floating in photoelectric conversion apparatuses face challenges in setting appropriate threshold values, leading to overcorrection or misidentification of normal data as OB floating data, which affects the output of specific color reference data such as OB level.
Innovation Solution
A signal processing apparatus that includes a first determination unit to identify continuous pixel values exceeding a threshold as floating data and an output unit to generate reference data by removing specified floating data, using alternative image data with pixel values not exceeding the threshold, thereby preventing black sink and improving the accuracy of OB clamp processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the threshold value for determining OB floating is increased, then fewer pixels are identified as floating data, but overcorrection occurs and normal data is incorrectly treated as floating data
Solution Approach 1:
The patent divides the light-shielded pixel area into multiple regions and processes each region separately to determine OB floating. By segmenting the detection area and applying regional analysis, the system can more accurately identify true floating pixels without overcorrection, thus improving detection reliability while maintaining reference data precision.
Solution Approach 2:
The patent dynamically adjusts the OB floating determination criteria based on the distribution characteristics of pixel values within the light-shielded area. Instead of using a fixed threshold, the system adapts its detection method to the specific image conditions, allowing accurate identification of floating pixels while preserving normal data integrity.
2Reliability
If the threshold value for determining OB floating is reduced, then more pixels are identified as floating data, but normal data is misidentified as OB floating data
Solution Approach 1:
By segmenting the light-shielded pixel area into multiple regions and analyzing pixel value distributions within each region, the patent can distinguish between true floating pixels and normal pixels more accurately. This regional analysis prevents misidentification of valid data while maintaining high detection reliability.
Solution Approach 2:
The patent employs feedback mechanisms where the determination of OB floating pixels in one region influences the analysis of adjacent regions. This feedback approach allows the system to learn from detected patterns and adjust subsequent detections, reducing false positives while maintaining accurate floating pixel identification.
3Productivity
If OB floating is not detected and corrected, then processing speed is maintained, but black sink occurs and image quality deteriorates
Solution Approach 1:
The patent performs OB floating detection and correction in advance during the image processing pipeline, before final image generation. By identifying and correcting floating pixels early in the processing flow, the system prevents black sink and quality deterioration while maintaining overall processing efficiency through optimized correction algorithms.
Data Source
AI summary
In the control method of the signal processing apparatus of the present embodiment, the portion at which a predetermined number of pixel values exceeding a first threshold value is continuous is specified as floating data of continuous image data indicated by pixel values output from a plurality of continuous light-shielded pixels. Reference data indicating a reference of a specific color is output, which is obtained by using a rest of image data, which is the continuous image data from which the floating data is removed, and alternative image data having pixel values not exceeding the first threshold value, which is used in place of the floating data.