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A Novel Super Resolution Algorithm Using Interpolation and LWT Based Denoising Method
Sapan Naik, Viral Borisagar
Pages - 198 - 206     |    Revised - 15-07-2012     |    Published - 10-08-2012
Volume - 6   Issue - 4    |    Publication Date - August 2012  Table of Contents
Super Resolution, Interpolation, Wavelet Lifting Scheme
Image capturing technique has some limitations and due to that we often get low resolution(LR) images. Super Resolution(SR) is a process by which we can generate High Resolution(HR) image from one or more LR images. Here we have proposed one SR algorithm which take three shifted and noisy LR images and generate HR image using Lifting Wavelet Transform(LWT) based denoising method and Directional Filtering and Data Fusion based Edge-Guided Interpolation Algorithm.
CITED BY (4)  
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2 Narang, A., Narang, G., & Singh, S. (2013, December). Detection of hard exudates in colored retinal fundus images using the Support Vector Machine classifier. In Image and Signal Processing (CISP), 2013 6th International Congress on (Vol. 2, pp. 964-968). IEEE.
3 BELIM, R. R., & KHANDHAR, D. N. (2013). Efficient Image Super Resolution Algorithm based on LMMSE filter & Interpolation for Natural Images.
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Mr. Sapan Naik
- India
Dr. Viral Borisagar
- India