SUPER - RESOLUTION USING EDGE MODIFICATION THROUGH SWT ON COLOUR IMAGES

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 preser ving 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 - Correlatio n. All these experiments are carried out using MATLAB software.