Color image denoising by chromatic edges based vector valued diffusion
V. B. Surya Prasath, Juan C. Moreno, K. Palaniappan

TL;DR
This paper introduces a novel vector-valued diffusion method for color image denoising that effectively preserves edges and prevents color smearing by incorporating chromatic edge information into the diffusion process.
Contribution
It presents an improved geometric diffusion scheme that uses chromatic edges from all color channels, enhancing denoising quality while maintaining color edge sharpness.
Findings
Achieves effective denoising with preserved edges.
Reduces color smearing artifacts.
Outperforms related denoising schemes.
Abstract
In this letter we propose to denoise digital color images via an improved geometric diffusion scheme. By introducing edges detected from all three color channels into the diffusion the proposed scheme avoids color smearing artifacts. Vector valued diffusion is used to control the smoothing and the geometry of color images are taken into consideration. Color edge strength function computed from different planes is introduced and it stops the diffusion spread across chromatic edges. Experimental results indicate that the scheme achieves good denoising with edge preservation when compared to other related schemes.
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Taxonomy
TopicsImage and Signal Denoising Methods · Medical Image Segmentation Techniques · Advanced Image Fusion Techniques
