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TUTCRIS

A method for predicting DCT-based denoising efficiency for grayscale images corrupted by AWGN and additive spatially correlated noise

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings of SPIE - The International Society for Optical Engineering
KustantajaSPIE
Vuosikerta9399
ISBN (painettu)9781628414899
DOI - pysyväislinkit
TilaJulkaistu - 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIS&T/SPIE ELECTRONIC IMAGING / IMAGE PROCESSING: ALGORITHMS AND SYSTEMS -
Kesto: 1 tammikuuta 1900 → …

Conference

ConferenceIS&T/SPIE ELECTRONIC IMAGING / IMAGE PROCESSING: ALGORITHMS AND SYSTEMS
Ajanjakso1/01/00 → …

Tiivistelmä

Results of denoising based on discrete cosine transform for a wide class of images corrupted by additive noise are obtained. Three types of noise are analyzed: additive white Gaussian noise and additive spatially correlated Gaussian noise with middle and high correlation levels. TID2013 image database and some additional images are taken as test images. Conventional DCT filter and BM3D are used as denoising techniques. Denoising efficiency is described by PSNR and PSNR-HVS-M metrics. Within hard-thresholding denoising mechanism, DCT-spectrum coefficient statistics are used to characterize images and, subsequently, denoising efficiency for them. Results of denoising efficiency are fitted for such statistics and efficient approximations are obtained. It is shown that the obtained approximations provide high accuracy of prediction of denoising efficiency.