NDLI: Image inpainting using multiresolution wavelet transform analysis

Content Provider	IEEE Xplore Digital Library
Author	Deshmukh, A.S. Mukherji, P.
Copyright Year	2012
Description	Author affiliation: Department of Electronics and Telecommunication, SKNCOE Sinhgad Technical Institutes Campus, Vadgaon, Pune, India (Deshmukh, A.S.; Mukherji, P.)
Abstract	Digital image processing technique can be applied to virtual restoration of artistic paintings. This paper introduced a method for the restoration of digitized paintings which is based on wavelet transformation analysis. Initially the given image gets separated into two principal components which encompass image texture and image color, respectively. Then, using multiresolution characteristics of wavelet transform, from the lowest spatial-frequency layer to the higher one, the image is analyzed from global-area to local-area progressively. Then, variance of the energy of wavelet coefficients within each image block is used to decide the priority of inpainting blocks. Final step is to extract the multi-resolution features of each block. The correlation among horizontal, vertical and diagonal directions are considered, to determine the inpainting strategy for filling image pixels and approximate high-quality image inpainting to human vision. This method can be used for a variety of input images that exhibit different kinds of defects.
Starting Page	1
Ending Page	6
File Size	765850
Page Count	6
File Format	PDF
ISBN	9781457720772
e-ISBN	9781457720789
DOI	10.1109/ICCICT.2012.6398156
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet Transform Image resolution Image Inpainting Image color analysis Maintenance engineering Filling Discrete wavelet transforms Multiresolution analysis Progressive processing
Content Type	Text
Resource Type	Article

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