Open AccessImage Denoising in Wavelet Domain with Filtering and Thresholding
Author(s) -
K. Sumathi,
Ch. Hima Bindu
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.34.19218
Subject(s) - artificial intelligence , thresholding , wavelet , computer vision , pattern recognition (psychology) , noise reduction , peak signal to noise ratio , additive white gaussian noise , computer science , white noise , mathematics , noise (video) , image (mathematics) , statistics
In this paper, the proposed method is implemented for removal of salt & pepper and Gaussian noise of black & white & color images toacquire the quality output. In this work initially wavelet coefficients are extracted for noisy images. Later apply denoise filteringtechnique on the high transform sub bands of noisy images (either color/ B & W) using new laplacian filters with 4 directions. Finallythreshold of an image is generated to extract denoisy coefficients. At last inverse of above subband coefficients can give denoise imagefor further processing. The proposed method is verified against various B & W/color images and it gives a better PSNR (Peak Signal toNoise Ratio) & MI (Mutual Information). These values are compared with different noise densities and analyzed visually.