ANALYSIS OF DENOISING WITH WAVELET AND WAVELET PACKAGE DECOMPOSITION METHODS

Abstract

In this presented study, it is compared that the wavelet and wavelet package decomposition for image denoising. The results shows that increasing of decomposition depth does not affect significantly PSNR rate. In the examination made on standart test images, it is concluded that although it does not show the same performance for every image, wavelet decomposition is superior to wavelet package decomposition. It is decided that it is more suitable to use denoising method based on wavelet decomposition when considering processing load as well.

Keywords

• WAVELET TRANSFORM, WAVELET PACKAGE DECOMPOSITION, DENOISING, IMAGE PROCESSING, PSNR,

DALGACIK VE DALGACIK PAKET AYRI?TIRMASI YÖNTEMLERYYLE YMGELERDEN GÜRÜLTÜ TEMYZLEMESY ANALYZY

Öz

Sunulan bu çaly?mada, imgelerden gürültü temizlemesi için dalgacyk ve dalgacyk paket ayry?tyrma yöntemleri kar?yla?tyrylmy?tyr. Sonuçlar, her iki yöntem için de ayry?tyrma derinli?inin artyrylmasynyn PSNR oranyny ciddi bir ?ekilde etkilemedi?ini göstermi?tir. Standart test imgeleri üzerinde yapylan incelemede, her imge için her ne kadar ayny performansy gösteremese de dalgacyk paket ayry?tyrmasyna göre üstün oldu?u sonucuna varylmy?tyr. Y?lem yükü de dikkate alyndy?ynda, dalgacyk ayry?tyrmasyna dayaly gürültüden temizleme yönteminin kullanylmasynyn daha do?ru olaca?y sonucu çykarylmy?tyr.

Anahtar Kelimeler

• DALGACIK DÖNÜ?ÜMÜ, DALGACIK PAKET AYRI?TIRMASI, GÜRÜLTÜ TEMYZLEME, GÖRÜNTÜ Y?LEME, PSNR,