Digital Chromatic Aberration Correction via Adaptive Weighting
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Solution Overview
Problem
Existing methods fail to effectively correct chromatic aberrations, particularly extreme chromatic aberrations like purple fringe, in images captured by cameras without requiring specially processed or manufactured lenses, which increases costs and is not widely applicable.
Innovation Solution
An apparatus and method that includes edge detection, chromatic aberration level calculation, and correction using different weighted values, as well as color detection and correction based on peripheral pixel colors, to address chromatic aberrations in images, including extreme cases like purple fringe.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a lens with special glass material or special treatment is used to reduce chromatic aberration, then chromatic aberration correction is improved, but manufacturing cost increases
Solution Approach 1:
The patent replaces the mechanical/optical solution (special glass material or special treatment in lens manufacturing) with a digital/image processing solution (chromatic aberration correction algorithm using circuit). Instead of modifying the physical lens properties, the invention uses signal processing to detect and correct chromatic aberration in the captured image, thereby achieving correction without increasing manufacturing costs.
Solution Approach 2:
The patent changes the approach from modifying physical parameters of the lens (glass material composition, treatment processes) to adjusting digital parameters in image processing (weighted values for different color channels, correction coefficients). By changing from physical parameter modification to digital parameter adjustment, the system achieves chromatic aberration correction without the associated manufacturing costs.
2Manufacturing precision
If existing chromatic aberration correction methods are used, then general chromatic aberration within a predetermined pixel range is corrected, but extreme chromatic aberration such as purple fringe is not corrected
Solution Approach 1:
The patent implements dynamic correction by adaptively determining different weighted values for different color channels (R, G, B) based on the detected chromatic aberration level. The correction algorithm dynamically adjusts its parameters - using first weighted values for general chromatic aberration and second weighted values for extreme cases like purple fringe, allowing it to handle varying degrees and types of chromatic aberration effectively.
Solution Approach 2:
The patent applies different correction strategies to different regions and types of chromatic aberration. It detects the chromatic aberration level and applies appropriate weighted values locally - using one set of weights for general edge chromatic aberration and another set for extreme cases like purple fringe. This localized adaptation enables comprehensive correction across different aberration severities.
Data Source
AI summary
The present invention relates to an apparatus and method of correcting a chromatic aberration of an image, and in particular, to an apparatus and method of correcting a chromatic aberration of an image that can correct a general chromatic aberration of an edge or an extreme chromatic aberration, such as a purple fringe, in an image.An apparatus for correcting a chromatic aberration of an image according to an embodiment of the present invention includes an edge detection unit detecting an edge of an input image, a level calculation unit calculating a chromatic aberration level of the detected edge, and a correction unit correcting the edge using different weighted values according to the calculated chromatic aberration level.