Image Signal Processor Corner Pattern Detection for Defective Pixel Interpolation
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Solution Overview
Problem
Existing image signal processors face challenges in accurately correcting defective pixels due to limitations in interpolation algorithms, which can result in noise and reduced image quality, especially in patterns with specific textures.
Innovation Solution
An image signal processor that determines a corner pattern corresponding to a target kernel by comparing gradient combinations, allowing for accurate interpolation of defective pixels using pixel data from neighboring pixels based on the identified pattern.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a predetermined interpolation algorithm is used to convert the original image into a complete image, then the image conversion can be performed, but serious noise occurs in images with specific patterns due to algorithm limitations
Solution Approach 1:
The patent changes the interpolation approach by detecting corner patterns and adjusting interpolation parameters based on the detected pattern type. Instead of using a fixed predetermined algorithm, the system dynamically selects interpolation parameters according to the local image characteristics (corner patterns), thereby resolving the contradiction between efficient conversion and accurate interpolation.
2Ease of operation
If a fixed interpolation algorithm is applied to all pixels, then the processing is simple and fast, but the accuracy deteriorates in specific pattern regions
Solution Approach 1:
The patent introduces dynamic pattern detection that identifies corner patterns in different image regions and adapts the interpolation method accordingly. The system transitions from a static fixed algorithm to a dynamic adaptive approach where the interpolation strategy changes based on the detected corner pattern, maintaining simplicity while improving accuracy in specific regions.
3Productivity
If conventional pixel interpolation is used, then the complete image can be generated, but noise is introduced in images with specific patterns
Solution Approach 1:
The patent applies local quality by detecting corner patterns in specific image regions and applying specialized interpolation only where needed. Instead of uniformly processing the entire image, the system identifies regions with corner patterns and applies appropriate interpolation methods locally, thereby reducing noise in affected areas while maintaining overall processing efficiency.
Data Source
AI summary
An image signal processor includes a first determiner and a pixel interpolator. The first determiner compares a target gradient combination for a target kernel including a target pixel with a reference gradient combination for each of a plurality of corner patterns to calculate a similarity score, and determines at least one corner pattern based on the calculated similarity score. The pixel interpolator interpolates the target pixel using pixel data of interpolation pixels determined based on the corner pattern.