A New Image Enhancement Algorithm Based on Bidirectional Diffusion
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초록
To solve the edge ringing or block effect caused by the partial differential diffusion in image enhancementdomain, a new image enhancement algorithm based on bidirectional diffusion, which smooths the flat regionor isolated noise region and sharpens the edge region in different types of defect images on aviation composites,is presented. Taking the image pixel’s neighborhood intensity and spatial characteristics as the attributedescriptor, the presented bidirectional diffusion model adaptively chooses different diffusion criteria indifferent defect image regions, which are elaborated are as follows. The forward diffusion is adopted to denoisealong the pixel’s gradient direction and edge direction in the pixel’s smoothing area while the backwarddiffusion is used to sharpen along the pixel’s gradient direction and the forward diffusion is used to smoothalong the pixel’s edge direction in the pixel’s edge region. The comparison experiments were implemented inthe delamination, inclusion, channel, shrinkage, blowhole and crack defect images, and the comparison resultsindicate that our algorithm not only preserves the image feature better but also improves the image contrastmore obviously.
Abstract
To solve the edge ringing or block effect caused by the partial differential diffusion in image enhancementdomain, a new image enhancement algorithm based on bidirectional diffusion, which smooths the flat regionor isolated noise region and sharpens the edge region in different types of defect images on aviation composites,is presented. Taking the image pixel’s neighborhood intensity and spatial characteristics as the attributedescriptor, the presented bidirectional diffusion model adaptively chooses different diffusion criteria indifferent defect image regions, which are elaborated are as follows. The forward diffusion is adopted to denoisealong the pixel’s gradient direction and edge direction in the pixel’s smoothing area while the backwarddiffusion is used to sharpen along the pixel’s gradient direction and the forward diffusion is used to smoothalong the pixel’s edge direction in the pixel’s edge region. The comparison experiments were implemented inthe delamination, inclusion, channel, shrinkage, blowhole and crack defect images, and the comparison resultsindicate that our algorithm not only preserves the image feature better but also improves the image contrastmore obviously.
참고문헌 (14)
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