Chromatic Aberration Correction via Multi-Process Image Synthesis
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Solution Overview
Problem
Existing image-processing systems fail to accurately detect and correct chromatic aberration, leading to potential smears in corrected images when a substantial luminance difference between target and surrounding pixels is undetected.
Innovation Solution
An image-processing system utilizing an image processor and correction processor that generates multiple processed images, masking images, and composite images to precisely detect and correct chromatic aberration by applying different processes and filters, such as low-pass filters and binarization, to enhance or suppress chromatic information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If chromatic aberration correction is performed based on luminance difference detection, then correction can be applied to detected fringes, but chromatic aberration with subtle luminance differences remains undetected and uncorrected
Solution Approach 1:
The patent segments the correction process into multiple independent detection methods: luminance difference detection and chromatic information detection. Each method operates separately to identify different types of chromatic aberration patterns, ensuring comprehensive detection without missing subtle cases that one method alone would overlook.
Solution Approach 2:
The patent changes the detection parameter from solely luminance difference to include chromatic information (color difference). By introducing a new detection parameter based on color space transformation and chroma component analysis, the system can detect chromatic aberration regardless of luminance similarity, thereby improving detection accuracy and reliability simultaneously.
2Productivity
If chromatic aberration correction is applied without accurate detection, then processing can proceed quickly, but smears appear in the corrected image due to insufficient detection
Solution Approach 1:
The patent performs preliminary detection of chromatic aberration locations and characteristics before applying correction. By pre-identifying fringe patterns and their properties through multiple detection methods, the system prepares correction parameters in advance, enabling fast and accurate correction without trial-and-error processing that would cause smears.
Solution Approach 2:
The patent introduces an intermediary detection and analysis stage between image capture and correction application. This intermediary process includes chromatic information extraction, fringe pattern recognition, and correction parameter calculation, which ensures that only accurately detected regions are corrected with appropriate parameters, preventing smear artifacts while maintaining efficient processing.
Data Source
AI summary
An image-processing system including an image processor and a correction processor is provided. The imaging processor obtains a captured image. The correction processor produces a corrected image by correcting an aberration that emerges in the captured image. The correction processor produces: at least one or more processed images obtained by applying different processes to the captured image; a masking image by applying a predetermined process to one of the captured images or the at least one or more processed images; a composite image by synthesizing the masking image and either of the captured image or the at least one or more processed images, which are not used when producing the masking image; and the corrected image by synthesizing the composite image and the captured image.