Title :
Iterative average filtering for image denoising
Author :
Konieczka, Adam ; Balcerek, Julian ; Dabrowski, Adrian
Author_Institution :
Div. of Signal Process. & Electron. Syst., Poznan Univ. of Technol., Poznan, Poland
Abstract :
A new nonlinear iterative average filtering technique for removing random impulse noise from images is presented. It can be used for both grayscale and color images. Filtering results of the standard test images and comparisons with results of other denoising methods are presented. The authors´ approach offers especially good results for strongly corrupted images (corruption pixel ratio above 40%).
Keywords :
filtering theory; image colour analysis; image denoising; image resolution; impulse noise; iterative methods; color images; corruption pixel ratio; grayscale images; image denoising; image processing; image quality enhancement; nonlinear iterative average filtering technique; random impulse noise removal; Filtering; Image resolution; Noise; Standards; Switches; PSNR; image denoising; image processing; image quality enhancement; impulse noise;
Conference_Titel :
Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013
Conference_Location :
Poznan
Electronic_ISBN :
2326-0262
