Image Signal Processor Directionality-Based Pixel Correction
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Solution Overview
Problem
Image signal processors face challenges in accurately correcting defective pixels, especially when the directionality of the target kernel is unclear, leading to potential deterioration in image quality due to incorrect signal correction.
Innovation Solution
An image signal processor with a directionality determiner to assess the directionality of a target kernel and a pixel corrector that corrects defective pixels based on directions with higher directionality strength, preventing unnecessary calculations by defining clear directionality conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If signals are corrected without considering directionality when directionality is unclear, then correction process is simplified, but image quality deteriorates
Solution Approach 1:
The patent applies dynamics by making the correction approach adaptive rather than static. The system dynamically determines whether to perform directionality determination based on kernel characteristics, and dynamically selects between different correction methods (directionality-based vs. conventional) depending on the clarity of directionality. This dynamic adaptation resolves the contradiction by simplifying the process when appropriate while maintaining quality when necessary.
Solution Approach 2:
The patent changes the parameter of correction methodology based on the determined directionality clarity. When directionality is clear, the system uses directionality-based correction parameters; when unclear, it switches to conventional correction parameters. This parameter change strategy allows the system to maintain image quality when needed while accepting simpler processing when directionality information is insufficient.
2Measurement precision
If directionality determination is always performed, then correction accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent segments the correction process into two distinct paths: one for cases where directionality is clear and another for cases where it is unclear. By segmenting the processing flow, the system performs directionality determination only when beneficial, rather than uniformly for all pixels. This segmentation reduces overall processing complexity while maintaining correction accuracy where it matters.
Solution Approach 2:
The patent applies partial action by performing directionality determination only for a subset of pixels where it provides value, rather than for all pixels. The system identifies specific conditions under which directionality determination is worthwhile and limits its application to those cases. This partial approach maintains correction accuracy for critical pixels while avoiding unnecessary processing complexity for others.
3Measurement precision
If multiple directions are considered for correction, then correction accuracy is improved, but calculation amount increases
Solution Approach 1:
The patent applies local quality by considering multiple directions only in specific local contexts where directionality is clear and beneficial. In regions where directionality is unclear, the system uses a simpler single-direction or averaged approach. This localized application of multi-directional correction maintains accuracy where needed while reducing calculation burden in other areas.
Solution Approach 2:
The patent uses partial action by selectively applying multi-directional correction only to pixels where directionality determination yields clear results. For pixels where directionality is ambiguous, the system performs fewer calculations using alternative methods. This partial application of the computationally intensive multi-directional approach balances accuracy improvement with calculation reduction.
Data Source
AI summary
An image signal processor for processing image signals and an image signal processing method for the same are disclosed. The image signal processor includes a directionality determiner configured to determine directionality of a target kernel including a target pixel, based on an angle between directions within the target kernel and a difference in directionality strength between the directions. The image signal processor also includes a pixel corrector configured to correct, when the target kernel has specific directionality according to a result of the directionality determination, the target pixel using pixels arranged in each of a plurality of directions having higher directionality strength than a predetermined directionality strength from among the directions within the target kernel.