English(EN) New Orthogonal Multiwavelet Filters Derived by Matrix Spectral Factorization

新的正交多小波滤波器在图像压缩和去噪方面表现出改进的性能

作者 PulseAugur 编辑部 · [2 个来源] · 2026-08-12 00:13

研究人员使用快速Bauer矩阵谱分解方法开发了两种新颖的正交多小波滤波器。与现有的超紧凑多小波相比，这些新滤波器提供了更高的编码效率和更平滑的性能。在图像压缩和信号去噪应用中的性能评估表明，与几种已建立的多滤波器类型相比，在人类视觉测量、SSIM和MS-SSIM方面取得了更优越的结果。 AI

影响多小波滤波器的这些进步可能带来更高效、更高质量的图像和信号处理应用。

排序理由该集群描述了一篇详细介绍信号处理和图像压缩新方法和结果的学术论文。[lever_c_demoted from research: ic=2 ai=0.4]

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Hugging Face Daily Papers TIER_1 English(EN) · 2026-08-12 00:13

New Orthogonal Multiwavelet Filters Derived by Matrix Spectral Factorization

The paper considers the construction of two new orthogonal multiwavelets with supercompact support by using the Fast Bauer's method for matrix spectral factorization on the matrix product filter of the orthogonal CL multiwavelet filter. The new multiwavelets possess orthogonality…
arXiv cs.CV TIER_1 English(EN) · Vasil Kolev, Todor Cooklev, Fritz Keinert · 2026-08-13 04:00

New Orthogonal Multiwavelet Filters Derived by Matrix Spectral Factorization

arXiv:2608.11518v1 Announce Type: new Abstract: The paper considers the construction of two new orthogonal multiwavelets with supercompact support by using the Fast Bauer's method for matrix spectral factorization on the matrix product filter of the orthogonal CL multiwavelet fil…