Prediction of filtering efficiency for DCT-based image denoising

Author

Abramov, S. ; Krivenko, S. ; Roenko, Alexey ; Lukin, Vladimir ; Djurovic, Igor ; Chobanu, Mikhail

Author_Institution

Dept. of Signal Reception, Transm. & Process., Nat. Aerosp. Univ., Kharkov, Ukraine

fYear

2013

fDate

15-20 June 2013

Firstpage

97

Lastpage

100

Abstract

The task of prediction practical efficiency of filtering on the basis of the discrete cosine transform (DCT) methods is considered. It is shown that it is possible to estimate the MSE values of images to be processed by means of calculation rather simple statistics of DCT coefficients. Moreover, the quasi-optimal value of threshold parameter for DCT filtering methods can be easy evaluated as well. The results are presented for different additive Gaussian noise levels and a set of gray-scale test images. Developed method provides an opportunity to decide is it worth applying filtering or not.

Keywords

Gaussian noise; discrete cosine transforms; filtering theory; image denoising; mean square error methods; prediction theory; statistics; DCT coefficients; DCT filtering methods; DCT-based image denoising; MSE values; additive Gaussian noise levels; discrete cosine transform methods; filtering efficiency prediction; gray-scale test images; quasioptimal value; statistics; Boats; Estimation; Filtering; Streaming media; DCT; filtering efficiency; noisy image; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Embedded Computing (MECO), 2013 2nd Mediterranean Conference on

Conference_Location

Budva

ISSN

1800-993X

Type

conf

DOI

10.1109/MECO.2013.6601327

Filename

6601327