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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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A BLIND METHOD FOR ADDITIVE NOISE VARIANCE EVALUATION BASED ON HOMOGENEOUS REGION DETECTION USING THE FOURTH CENTRAL MOMENT ANALYSIS

Volume 74, Numéro 18, 2015, pp. 1651-1669
DOI: 10.1615/TelecomRadEng.v74.i18.50
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RÉSUMÉ

A blind method for additive noise variance estimation is proposed. The first peculiarity of the method is the use of homogeneous regions' detector based on analysis of the fourth central moment values. The second peculiarity consists in applying iterative variance estimation procedure with correction of homogeneous region map in each iteration. A modification of the proposed method for spatially correlated noise case is described. It implies blind noise correlation level estimation followed by image downsampling with a corresponding factor. At the final stage, the method for noise variance estimation is applied to downsampled image. Performance results for the proposed method are compared to the results for several other modern variance estimation techniques. It is shown that the proposed method demonstrates the best accuracy for both spatially uncorrelated and correlated noise cases.

CITÉ PAR
  1. Abramova Victoriya, Abramov Sergey, Lukin Vladimir, Djurovic Igor, Simeunovic Marko, Vozel Benoit, Blind evaluation of noise characteristics in multi-channel images exploiting inter-channel correlation, 2017 6th Mediterranean Conference on Embedded Computing (MECO), 2017. Crossref

  2. Abramova Victoriya, Abramov Sergey, Lukin Vladimir, Egiazarian Karen, Blind estimation of speckle characteristics for sentinel polarimetric radar images, 2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS), 2017. Crossref

  3. Turajlic Emir, Adaptive Block-Based Approach to Image Noise Level Estimation in the SVD Domain, Electronics, 7, 12, 2018. Crossref

  4. Rubel Andrii, Rubel Oleksii, Abramova Victoriya, Proskura Galina, Lukin Vladimir, Improved Noisy Image Quality Assessment Using Multilayer Neural Networks, 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON), 2019. Crossref

  5. Turajlic Emir, Begović Alen, Škaljo Namir, Application of Artificial Neural Network for Image Noise Level Estimation in the SVD domain, Electronics, 8, 2, 2019. Crossref

  6. Abramova Victoriya, Krivenko Sergey, Lukin Vladimir, Krylova Olga, Analysis of Noise Properties in Dental Images, 2020 IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO), 2020. Crossref

  7. Abramova Victoriya, Abramov Sergey, Blind Evaluation of DCT Domain Spectral Characteristics of Signal-dependent Noise in Images, 2020 IEEE Ukrainian Microwave Week (UkrMW), 2020. Crossref

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