Paper
8 July 2011 Complex diffusion and shock filter processes for image enhancement and denoising
Zhu Yan, Mingju Chen, Pingxian Yang
Author Affiliations +
Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80091T (2011) https://doi.org/10.1117/12.896317
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China
Abstract
The diffusion process can simultaneously enhance, sharpen and denoise image. The diffusion coefficient is locally adjust according to image gradient, so it has many formats diffusion process according to the set of criteria, suck as P-M diffusion,complex diffusion and forward and backward diffusion. In the complex diffusion, the imaginary part of image serve as approximate second derivative of image. So using the imaginary to control the diffusion coefficient can combine the forward and backward complex diffusion.The forward and backward complex diffusion choice forward or backward diffusion according to the imaginary part. The forward diffusion denoise and smooth the image,and the backward diffusion magnify the noise and sharpen the edges, so the the forward and backward complex diffusion can't denoise detail part of image effectively.The shock filer sharpen the edges can take for inverse diffusion, in the paper,we use the imaginary part to control the shock filter as the backward part and the nonlinear complex diffusion as the forward part to combine a novel forward and backward complex diffusion. This novel isn't selectivity diffusion but forward and backward diffusion both diffuse simultaneously.The results of experiments demonstrate the novel denoise the image and retain the details more effective than the forward and backward complex diffusion.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhu Yan, Mingju Chen, and Pingxian Yang "Complex diffusion and shock filter processes for image enhancement and denoising", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80091T (8 July 2011); https://doi.org/10.1117/12.896317
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KEYWORDS
Diffusion

Image processing

Image filtering

Signal to noise ratio

Image enhancement

Signal processing

Denoising

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