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Telecommunications and Radio Engineering

Publication de 12  numéros par an

ISSN Imprimer: 0040-2508

ISSN En ligne: 1943-6009

SJR: 0.185 SNIP: 0.268 CiteScore™:: 1.5 H-Index: 22

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3D DCT Based Filtering of Color and Multichannel Images

Volume 67, Numéro 15, 2008, pp. 1369-1392
DOI: 10.1615/TelecomRadEng.v67.i15.50
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RÉSUMÉ

The performance of vector (3D) filtering of color and multichannel images in discrete cosine transform (DCT) domain is studied. It is shown that the vector filtering offers some advantages compared to the component-wise (2D) filtering. Moreover, it is shown through experiments that the DCT based processing can be more efficient than advanced nonlinear vector filters. As noise models, both additive noise and mixed additive and impulsive noise are used. Finally, the applicability of the DCT based filtering is studied when the noise is multiplicative; and a convenient way to reduce multiplicative noise to additive noise is proposed.

CITÉ PAR
  1. Fevralev Dmitriy V, Ponomarenko Nikolay N, Lukin Vladimir V, Abramov Sergey K, Egiazarian Karen O, Astola Jaakko T, Efficiency analysis of color image filtering, EURASIP Journal on Advances in Signal Processing, 2011, 1, 2011. Crossref

  2. Lukin Vladimir, Abramov Sergey, Krivenko Sergey, Kurekin Andriy, Pogrebnyak Oleksiy, Analysis of classification accuracy for pre-filtered multichannel remote sensing data, Expert Systems with Applications, 40, 16, 2013. Crossref

  3. Lukin Vladimir, Abramov Sergey, Ponomarenko Nikolay, Egiazarian Karen, Astola Jaakko, Image filtering: Potential efficiency and current problems, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011. Crossref

  4. Lukin Vladimir, Ponomarenko Nikolay, Kurekin Andrey, Pogrebnyak Oleksiy, Processing and Classification of Multichannel Remote Sensing Data, in Advances in Soft Computing, 7095, 2011. Crossref

  5. Lukin Vladimir, Abramov Sergey, Kozhemiakin Ruslan, Rubel Alexey, Uss Mikhail, Ponomarenko Nikolay, Abramova Victoriya, Vozel Benoit, Chehdi Kacem, Egiazarian Karen, Astola Jaakko, DCT-Based Color Image Denoising: Efficiency Analysis and Prediction, in Color Image and Video Enhancement, 2015. Crossref

  6. Abramov Sergey, Uss Mikhail, Lukin Vladimir, Vozel Benoit, Chehdi Kacem, Egiazarian Karen, Enhancement of Component Images of Multispectral Data by Denoising with Reference, Remote Sensing, 11, 6, 2019. Crossref

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