SUPER-RESOLUTION USING EDGE MODIFICATION THROUGH SWT ON COLOUR IMAGES
| Main Author: | P. Vinay Kumar*, K. Rushendra Babu, K. Rasool Reddy |
|---|---|
| Format: | Article |
| Terbitan: |
, 2016
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/154568 |
Daftar Isi:
- Improvement of super-resolution is one of the major aspects in image processing applications. Super-resolution (SR) imaging is a process, to reconstruct a high-resolution (HR) image of a scene from one or more low-resolution images of the scene. In most cases noise is accumulated in edges. Hence edge preserving is an essential task in image super-resolution. In this paper, stationary wavelet transform (SWT) based super-resolution is introduced. In SWT, initially the image is split into 4 subbands and then each subband is modified by multiplying with a boost value and finally applies inverse stationary wavelet transform (ISWT) to produce the required high-resolution image. The proposed method gives better performance compare with other conventional super-resolution techniques in terms of PSNR, Cross-Correlation. All these experiments are carried out using MATLAB software.