Defective Pixel Correction in Imaging Devices
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Solution Overview
Problem
Existing image processing methods from imaging devices, such as CCDs and FPDs, suffer from defective pixels that lead to image deterioration, particularly in medical diagnostics where high-quality images are critical, and current correction methods either prolong processing time or fail to correct all defective pixels effectively.
Innovation Solution
A method that differentiates between continuous and lone defective pixels, using position information to correct lone pixels with average value interpolation and continuous pixels with weighted average interpolation, employing a greater number of normal pixels for higher precision correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional defective pixel correction methods are used, then image quality deteriorates due to defective pixels, but processing time is prolonged when attempting to correct all defective pixels
Solution Approach 1:
The patent segments defective pixels into two categories: continuous defective pixels (adjacent to each other) and lone defective pixels (isolated). This segmentation allows different correction strategies to be applied to each type, optimizing both image quality and processing efficiency. Continuous defective pixels are corrected using interpolation from non-adjacent normal pixels, while lone defective pixels are corrected using adjacent normal pixels, thereby reducing overall processing time while maintaining image quality.
2Reliability
If all defective pixels are corrected with high precision, then image quality is improved, but the complexity of the correction process increases
Solution Approach 1:
The patent applies different correction methods to different types of defective pixels based on their local characteristics. Continuous defective pixels are handled by interpolating from non-adjacent normal pixels, while lone defective pixels are corrected using adjacent normal pixels. This localized approach simplifies the overall correction process by matching the correction strategy to the specific defect pattern, reducing complexity while maintaining high image quality.
Data Source
AI summary
A method of processing images from an imaging device corrects defective pixels in an image acquired with the imaging device. The method includes a step of acquiring position information about continuous defective pixels from the position information about the defective pixels, a first correcting step of correcting the defective pixels with at least one normal pixel adjacent at least one defective pixels based on the position information about the defective pixels and a second correcting step of correcting the continuous defective pixels with a plurality of normal pixels adjacent at least one continuous defective pixels based on the position information about the continuous defective pixels. The second correcting step relies upon a greater number of normal pixels than the first correcting step to correct the defective pixels in a higher precision than the first correcting step.