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Satellite Image Resolution Enhancement using Dual-Tree Complex Wavelet Transform ( DT-CWT ) and Nonlocal Means ( NLM )
| Content Provider | Semantic Scholar |
|---|---|
| Author | Suriya M. |
| Copyright Year | 2014 |
| Abstract | Resolution enhancement (RE) schemes (which are not based on wavelets) has one major drawback of losing high frequency contents (which results in blurring). The discrete wavelettransform-based (DWT) RE scheme generates artifacts (due to a DWT shift-variant property). A wavelet-domain approach based on dual-tree complex wavelet transform (DT-CWT) and nonlocal means (NLM) is proposed for RE of the satellite images. A satellite input image is decomposed by DT-CWT (which is nearly shift invariant) to obtain high-frequency sub bands. Here the Lanczos interpolator is used to interpolate the highfrequency sub bands and the low-resolution (LR) input image. The high frequency sub bands are passed through an NLM filter to cater for the artifacts generated by DT-CWT (despite of its nearly shift invariance). The filtered high-frequency sub bands and the LR input image are combined using inverse DT-CWT to obtain a resolution-enhanced image. Objective and subjective analyses show superiority of the new proposed technique over the conventional and state-of-the-art RE techniques. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijsetr.com/uploads/521643IJSETR2545-39.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
