Literature DB >> 18282942

Noise estimation and filtering using block-based singular value decomposition.

K Konstantinides1, B Natarajan, G S Yovanof.   

Abstract

Preprocessing of image and video sequences with spatial filtering techniques usually improves the image quality and compressibility. We present a block-based, nonlinear filtering algorithm based on singular value decomposition and compression-based filtering. Experiments show that the proposed filter preserves edge details and can significantly improve the compression performance.

Year:  1997        PMID: 18282942     DOI: 10.1109/83.557359

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  4 in total

1.  Automatic localization of anatomical point landmarks for brain image processing algorithms.

Authors:  Scott C Neu; Arthur W Toga
Journal:  Neuroinformatics       Date:  2008-05-30

2.  A sophisticated and provably grayscale image watermarking system using DWT-SVD domain.

Authors:  Seif Eddine Naffouti; Anis Kricha; Anis Sakly
Journal:  Vis Comput       Date:  2022-07-01       Impact factor: 2.835

3.  Referenceless image quality evaluation for whole slide imaging.

Authors:  Noriaki Hashimoto; Pinky A Bautista; Masahiro Yamaguchi; Nagaaki Ohyama; Yukako Yagi
Journal:  J Pathol Inform       Date:  2012-03-16

4.  Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy.

Authors:  Jérôme Buisine; André Bigand; Rémi Synave; Samuel Delepoulle; Christophe Renaud
Journal:  Entropy (Basel)       Date:  2021-01-06       Impact factor: 2.524

  4 in total

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