Paper Info
Title
Super Resolution Image Generation Using Wavelet Domain Interpolation With Edge Extraction via a Sparse Representation.
Abstract
This letter addresses the problem of generating a super-resolution (SR) image from a single low-resolution (LR) input image in the wavelet domain. To achieve a sharper image, an intermediate stage for estimating the high-frequency (HF) subbands has been proposed. This stage includes an edge preservation procedure and mutual interpolation between the input LR image and the HF subband images, as performed via the discrete wavelet transform (DWT). Sparse mixing weights are calculated over blocks of coefficients in an image, which provides a sparse signal representation in the LR image. All of the subband images are used to generate the new high-resolution image using the inverse DWT. Experimental results indicated that the proposed approach outperforms existing methods in terms of objective criteria and subjective perception improving the image resolution.
Year
DOI
Venue
2014
10.1109/LGRS.2014.2308905
IEEE Geosci. Remote Sensing Lett.
Keywords
Field
DocType
discrete wavelet transforms,edge detection,image representation,image resolution,interpolation,inverse transforms,HF subband image,SR image generation,edge extraction,high-frequency subband image,inverse DWT,inverse discrete wavelet transform,single LR input image,single low-resolution input image,sparse mixing weight calculation,sparse signal representation,super resolution image generation,wavelet domain mutual interpolation,Edge extraction,interpolation,sparse mixing estimators,super resolution (SR),wavelet domain
Computer vision,Image gradient,Image fusion,Feature detection (computer vision),Pattern recognition,Sparse approximation,Second-generation wavelet transform,Artificial intelligence,Stationary wavelet transform,Wavelet packet decomposition,Image scaling,Mathematics
Journal
Volume
Issue
ISSN
11
10
1545-598X
Citations 
PageRank 
References 
6
0.49
0
Authors
2
Name
Order
Citations
PageRank
Herminio Chavez-Roman171.18
Volodymyr I. Ponomaryov212418.38