SUPER-RESOLUTION USING EDGE MODIFICATION THROUGH SWT ON COLOUR IMAGES
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 9
Abstract
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 lowresolution 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 superresolution 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.
Authors and Affiliations
P. Vinay Kumar
Keywords
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- EP ID EP149377
- DOI 10.5281/zenodo.154568
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