Defective Pixel Detection Using Texture Direction Analysis
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Solution Overview
Problem
Existing image processing techniques fail to accurately detect defective pixels, particularly continuous defective pixels, and often require separate detection sections for single and continuous defective pixels, leading to inefficiencies and inaccuracies.
Innovation Solution
An image processing device and method that determines texture direction in a vicinity region and uses secondary differential values to detect defective pixels, with a comparator determining pixel defects based on threshold values, and a correction section that adjusts pixel values based on adjacent pixels in the texture direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the defective pixel is detected based on the edge direction, then the detection process is simplified, but continuous defective pixels cannot be detected accurately
Solution Approach 1:
The patent segments the detection process into two independent stages: first determining texture direction in the vicinity region, then detecting defective pixels along that direction. This segmentation allows the system to handle both single and continuous defective pixels uniformly without requiring separate detection sections, resolving the contradiction between simplified process and accurate detection.
Solution Approach 2:
The patent introduces a new dimension of texture direction determination, moving beyond traditional edge-direction-only approaches. By adding the texture direction dimension, the system can detect continuous defective pixels that extend along the texture direction, thereby improving detection accuracy without significantly increasing process complexity.
2Measurement precision
If separate determination sections are provided for single defective pixels and continuous defective pixels, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent creates a universal detection mechanism that handles both single and continuous defective pixels through the same determination section. By making the detection section multi-functional and incorporating texture direction determination, it can identify all types of defective pixels uniformly, eliminating the need for separate determination sections while maintaining high detection accuracy.
3Device complexity
If correction is performed based on adjacent pixels without considering texture direction, then the correction process is simplified, but erroneous corrections occur in high-frequency texture regions
Solution Approach 1:
The patent applies local quality by adapting the correction process to the local texture characteristics of each vicinity region. By determining texture direction locally and using it to guide correction, the system preserves genuine texture variations while correcting actual defective pixels, thereby improving correction reliability without excessive complexity.
Data Source
AI summary
Disclosed is an image processing device which is provided with a determination section which determines texture direction in a vicinity region based on the vicinity region which includes a target pixel in the image and a detection section which detects whether or not the target pixel is a defective pixel based on a plurality of pixels including the target pixel which are lined up in the texture direction in the image.