Prediction of filtering efficiency for DCT-based image denoising
Sergey Abramov, Sergey Krivenko, Alexey A. Roenko, Владимир Васильевич Лукин, Igor Djurović, М. К. Чобану · 2013
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.