Paper Info
Title
Image restoration with union of directional orthonormal DWTs.
Abstract
This work proposes to apply directional lapped orthogonal transforms to image restoration. A DirLOT is an orthonormal transform of which basis is allowed to be anisotropic with the symmetric, real-valued and compact-support property. In this work, DirLOTs are used to generate symmetric orthonormal discrete wavelet transforms and then a redundant dictionary as a union of unitary transforms. The multiple directional property is suitable for representing natural images which contain diagonal edges and textures. The performances of deblurring, super-resolution and inpainting are evaluated for several images with the iterative-shrinkage/thresholding algorithm. It is verified that the proposed dictionary yields comparable or superior restoration performance to the non-subsampled Haar transform.
Year
Venue
Keywords
2012
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
DirLOT,sparse representation,deblurring,super-resolution,inpainting,iterative-shrinkage/thresholding algorithm
Field
DocType
ISSN
Diagonal,Deblurring,Pattern recognition,Image texture,Sparse approximation,Inpainting,Orthonormal basis,Artificial intelligence,Image restoration,Mathematics,Wavelet transform
Conference
2309-9402
Citations 
PageRank 
References 
3
0.46
2
Authors
3
Name
Order
Citations
PageRank
Shogo Muramatsu113633.23
Natsuki Aizawa2121.81
Masahiro Yukawa327230.44