Bad Pixel Compensation for Bayer Pattern Images
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Solution Overview
Problem
Conventional image processing circuits for Bayer pattern images, especially those using low-end hardware resources, often result in poor image quality due to oversimplified designs, leading to inadequate bad pixel compensation.
Innovation Solution
A method and apparatus for bad pixel compensation that involves summing absolute differences of pixel values around a target pixel in multiple directions to generate detection values, allowing selective compensation based on these values to maintain high image quality even with low-end hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional image processing circuits use low-end hardware resources and oversimplified designs, then material costs are saved and device complexity is reduced, but image quality deteriorates and bad pixel compensation becomes inadequate
Solution Approach 1:
The patent divides the image processing into multiple directional analyses (horizontal, vertical, and diagonal directions). For each direction, separate detection values are calculated by summing absolute differences of pixel values in that specific direction. This segmentation allows the system to process bad pixel compensation in a structured manner that achieves good results with simple hardware operations.
Solution Approach 2:
The patent applies different processing approaches based on local image characteristics. By calculating detection values in multiple directions and comparing them, the system identifies regions with bad pixels locally and applies compensation only where needed. This local quality approach ensures high image quality without requiring complex global processing.
2Device complexity
If conventional image processing circuits use low-end hardware resources and oversimplified designs, then device complexity is reduced, but bad pixel compensation becomes inadequate
Solution Approach 1:
The patent segments the bad pixel detection and compensation process into multiple independent directional analyses. Each direction (horizontal, vertical, diagonal) is processed separately with its own detection value calculation. This segmentation enables reliable compensation using simple arithmetic operations that can be implemented in low-end hardware without requiring complex circuitry.
Solution Approach 2:
The patent performs detection in multiple directions (more than the minimum single direction), which constitutes a form of partial excessive action. By analyzing more directions than strictly necessary, the system achieves more reliable bad pixel identification and compensation results while still using simple hardware resources for each individual direction's processing.
3Speed
If simple detection methods are used, then processing speed is improved, but detection precision of bad pixels deteriorates
Solution Approach 1:
The patent segments detection into multiple directional components, where each direction's detection value is calculated independently by summing absolute differences along that direction. This segmentation allows the system to maintain simple, fast arithmetic operations while achieving comprehensive detection coverage through multiple directions, thus preserving both speed and precision.
Solution Approach 2:
The patent merges the results from multiple directional detections by comparing detection values across different directions. The final bad pixel determination is made by combining information from horizontal, vertical, and diagonal detections. This merging of simple directional analyses achieves high detection precision without requiring complex individual operations.
Data Source
AI summary
A method for performing bad pixel compensation includes: with regard to each direction of a plurality of directions, summing up absolute values of differences between a plurality of sets of first pixel values around a target pixel of an image to generate a first detection value, and with regard to each direction of at least a portion of the directions, summing up absolute values of differences between a plurality of sets of second pixel values around the target pixel to generate a second detection value, where each set of the sets of first pixel values and the sets of second pixel values includes two pixel values corresponding to a difference; and with regard to a specific direction of the directions, selectively performing bad pixel compensation on the target pixel according to the first detection value and the second detection value. An associated apparatus is also provided.