Redundant Wavelet Transform Based Image Super Resolution
نویسندگان
چکیده
The process of Super Resolution (SR) aims at extracting a high resolution image from low resolution image. The proposed technique uses Redundant Wavelet Transform to enhance the resolution of an image using a single low resolution image. The proposed method decomposes the input image into different subbands. Then all subbands are interpolated. Combining all the interpolated subbands using Inverse Redundant Wavelet Transform provides the proposed super resolution image. The algorithm is tested with various wavelet types and their performance is compared. The proposed technique has been tested on Lena, Elaine, Pepper, and Baboon images. The proposed method gives higher quantitative peak signal-tonoise ratio (PSNR) and visual results in comparison to other conventional and state-of-art image Super resolution techniques. Index Term — Image Super Resolution, Interpolation, Discrete Wavelet Transform, Redundant Wavelet Transform.
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