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A Novel Approach for Single Image Super Resolution by Sparse Signal Representation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ranga, Anirudh Suryanarayana, Gunnam |
| Copyright Year | 2015 |
| Abstract | This paper presents a new approach to obtain a high resolution image from a single image low resolution by a technique of sparse representation. Sparse representation is a way of representing a signal sparsely i.e. with fewer non zero elements. In this method we find the sparse representation of the input low resolution image patches and then use the coefficient of this representation to generate the high resolution image output. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.indjst.org/index.php/indjst/article/download/58737/45945 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Arabic numeral 0 Autostereogram Coefficient Image resolution Intermediate representation Sparse approximation Sparse matrix Super-resolution imaging |
| Content Type | Text |
| Resource Type | Article |