Image Processing Method Using Contrast Distribution for Refocus
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Solution Overview
Problem
Existing image processing methods for multiple viewpoint images often result in perspective conflicts and reduced image quality due to differences in defocus states and spatial frequency configurations, particularly when sharpening and smoothing are applied.
Innovation Solution
An image processing method that generates contrast distribution from multiple viewpoint images and performs image processing based on this distribution to maintain image quality by adapting sharpening and smoothing techniques according to the contrast and image shift differences between viewpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image processing such as sharpening and smoothing is performed in refocus processing, then the in-focus position can be altered after photographing, but perspective conflict and occlusion are likely to be caused and the quality of the image may be reduced
Solution Approach 1:
The patent applies different image processing treatments to different regions of the image based on their contrast characteristics. High-contrast regions receive different processing than low-contrast regions, allowing the system to maintain image quality while enabling refocus functionality. This local differentiation prevents the degradation that would occur if uniform processing was applied across the entire image.
Solution Approach 2:
The patent changes processing parameters dynamically based on contrast distribution. By analyzing the contrast characteristics of different image regions and adjusting processing strength accordingly, the system achieves refocus capability without introducing artifacts or degrading quality in regions where it would be harmful.
2Adaptability or versatility
If image processing is performed on areas with significantly different defocus states and configurations of spatial frequency, then refocus processing can be applied, but perspective conflict and occlusion occur
Solution Approach 1:
The system analyzes contrast distribution across the image and applies appropriate processing strength to each region. By identifying regions with similar contrast characteristics, the system can perform refocus processing while maintaining consistency and avoiding perspective conflicts in areas where objects have significantly different defocus states.
Solution Approach 2:
The patent dynamically adjusts processing parameters based on the contrast distribution detected in each region. This dynamic adaptation allows the system to handle areas with different defocus states appropriately, maintaining image quality consistency while enabling refocus functionality where appropriate.
Data Source
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AI summary
One embodiment of the present invention provides an image processing method, the method comprising: acquiring a plurality of viewpoint images; generating a contrast distribution from the plurality of viewpoint images; and generating an output image by performing image processing in accordance with the contrast distribution with respect to an image based on the plurality of viewpoint images.