Removal of Salt-and-Pepper Noise Using a High-Precision Frequency Analysis Approach

Masaya HASEGAWA  Kazuki SAKASHITA  Kousei UCHIKOSHI  Shigeki HIROBAYASHI  Tadanobu MISAWA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E100-D   No.5   pp.1097-1105
Publication Date: 2017/05/01
Publicized: 2017/01/24
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDP7393
Type of Manuscript: PAPER
Category: Image Processing and Video Processing
Keyword: 
salt-and-pepper noise,  frequency analysis,  macroblock analysis,  

Full Text: PDF>>
Buy this Article




Summary: 
A digital image is often deteriorated by impulse noise that may occur during processes such as transmission. An impulse noise converts the pixel data in the image into black (0) or white (255) values at a random frequency and is also called salt-and-pepper noise. In this paper, we identify the details of pixels that have been damaged by impulse noise by analyzing the frequency of the noisy image using non-harmonic analysis (NHA). From experimental results, we can confirm that this method shows superior performance compared to the recent PSNR denoising method. In addition, we show that the proposed method is particularly superior in eliminating impulse noise in images with high noise rates.