Paper Info
Title
Image Noise Removal Using Image Inpainting
Abstract
In this paper, new methods are addressed for impulse and speckle noise removal in images. The approach is based on the fusion of noise detection and image inpainting techniques. To avoid destroying the real structures of the image, the noise areas are first recognized to be repaired by an inpainting algorithm, subsequently. To distinguish the impulse noise areas in the image, a Neuro-Fuzzy model is employed and, to extract the speckled regions an algorithm is proposed based on Frost filtering and image resizing. The advantage of inpainting technique over the regular filtering methods is that it will be easier to generalize to all types of noise. Once we detect the damaged pixels in the image, the inpainting algorithm will be able to repair them. Various types of images under three levels of noise are tested using PSNR and SSIM measures. The experimental results demonstrate the great ability of the new approaches to suppress the noise properly, while preserving critical details of the image.
Year
DOI
Venue
2012
10.1117/12.906089
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS X AND PARALLEL PROCESSING FOR IMAGING APPLICATIONS II
Keywords
Field
DocType
Image denoising, Impulse noise, Speckle noise, Neuro-Fuzzy prediction, Inpainting, Frost filter
Noise reduction,Computer vision,Median filter,Pattern recognition,Filter (signal processing),Dark-frame subtraction,Image noise,Inpainting,Impulse noise,Artificial intelligence,Speckle noise,Physics
Conference
Volume
ISSN
Citations 
8295
0277-786X
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Somayeh Bakhtiari101.01
Elmira Mohyedinbonab200.68
Sos Agaian36716.48
Mo Jamshidi428952.89