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New Tensor Variational Approach Enhances Image Denoising

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced a new variational approach for tensor-based total variation, termed Gradient Energy Total Variation (GETV). This method incorporates a gradient energy tensor, leading to a tensor-based partial differential equation of total variation type. The study demonstrates that GETV is a convex functional and, through experimental results, shows it performs favorably against existing denoising methods like extended anisotropic diffusion and standard total variation for both grayscale and color images. AI

RANK_REASON The cluster contains a single academic paper detailing a new formulation for image processing. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Tensor Variational Approach Enhances Image Denoising

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The cluster contains a single academic paper detailing a new formulation for image processing. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Freddie {\AA}str\"om, George Baravdish, Michael Felsberg ·

    A Tensor Variational Formulation of Gradient Energy Total Variation

    arXiv:2608.29172v1 Announce Type: new Abstract: We present a novel variational approach to a tensor-based total variation formulation which is called gradient energy total variation, GETV. We introduce the gradient energy tensor [6] into the GETV and show that the corresponding E…

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