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TUTCRIS

On prediction of DCT-based denoising efficiency under spatially correlated noise conditions

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET)
KustantajaIEEE
Sivut750-754
Sivumäärä5
ISBN (painettu)9786176078067
DOI - pysyväislinkit
TilaJulkaistu - 12 huhtikuuta 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science -
Kesto: 1 tammikuuta 2000 → …

Conference

ConferenceInternational Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science
Ajanjakso1/01/00 → …

Tiivistelmä

In this paper, results of image denoising efficiency prediction for filter based on discrete cosine transform (DCT) for the case of spatially correlated additive Gaussian Noise (SCGN) are given. The considered noise model is analyzed for different degrees of spatial correlation that produce varying non-homogeneous spectrum of the noise. PSNR metric is exploited to assess denoising efficiency. It is shown in this paper, that a prediction of denoising efficiency has high accuracy for data distorted by noise with different degrees of spatial correlation, and require low computational resources.