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Telecommunications and Radio Engineering

Publicou 12 edições por ano

ISSN Imprimir: 0040-2508

ISSN On-line: 1943-6009

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

Indexed in

AUTOMATIC ESTIMATION OF SPATIALLY CORRELATED NOISE VARIANCE IN SPECTRAL DOMAIN FOR IMAGES

Volume 73, Edição 6, 2014, pp. 511-527
DOI: 10.1615/TelecomRadEng.v73.i6.40
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RESUMO

Problems that occur in blind estimation of spatially correlated noise variance in spectral (DCT) domain are considered. It is shown that estimates of noise variance obtained automatically without image pre-processing are considerably biased for most modern techniques. A way to improve accuracy by preliminary downsampling of images is studied. It is demonstrated that downsampling should be adapted to spatial correlation of the noise. An automatic method to determine downsampling parameters is proposed. It is based on analysis of the fourth moment of DCT coefficients in 8×8 image blocks. Comparative analysis for several modern variance estimation techniques is carried out using simulation results for test images from the database TID2008.

CITADO POR
  1. Abramova V. V., Kozhemiakin R., Abramov S. K., Lukin V. V., Zelensky A. A., Egiazarian K., Blind estimation of speckle variance in synthetic aperture radar images, 2015 International Conference on Antenna Theory and Techniques (ICATT), 2015. Crossref

  2. Roenko Alexey, Lukin Vladimir, Abramov Sergey, Djurovic Igor, Automation of analysis for correlated noise in images based on DCT coefficient statistics, 2014 3rd Mediterranean Conference on Embedded Computing (MECO), 2014. Crossref

  3. 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

  4. Berman Mark, Improved Estimation of the Intrinsic Dimension of a Hyperspectral Image Using Random Matrix Theory, Remote Sensing, 11, 9, 2019. Crossref

  5. Tsekhmystro Rostyslav, Rubel Oleksii, Abramova Victoriya, Zriakhov Mikhail, Uss Mikhail, Mobile Deployment of NoiseNet: Noise Characteristics Assessment in Real-World Images, 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON), 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

  8. Ponomarenko Mykola, Miroshnichenko Oleksandr, Lukin Vladimir, Egiazarian Karen, Blind Estimation and Suppression of Additive Spatially Correlated Gaussian Noise in Images, 2021 9th European Workshop on Visual Information Processing (EUVIP), 2021. Crossref

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