mlsanityData to 14 Oct 2026

An Improved Variational Method for Image Denoising

arXiv 2410.02587 ↗First posted 3 Oct 2024cs.CV cs.NA math.NAcited by 1

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Abstract (arXiv)

The total variation (TV) method is an image denoising technique that aims to reduce noise by minimizing the total variation of the image, which measures the variation in pixel intensities. The TV method has been widely applied in image processing and computer vision for its ability to preserve edges and enhance image quality. In this paper, we propose a Mixed-norm TV (MixTV) model for image denoising and the associated numerical algorithm to carry out the procedure, which is particularly effective in removing several types of noise and their combinations. Our MixTV admits a unique solution and the associated numerical algorithm guarantees convergence. Numerical experiments are demonstrated to show improved effectiveness and denoising quality compared to other TV models. Such encouraging results further enhance the utility of the TV method in image processing. Our project page is available at https://jing-en-huang.github.io/MixTV.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 28 references that are in the map. First posted on arXiv 3 Oct 2024.

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References · 1

  1. 2016Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoisingcited by 1,358

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