Image Resolution and Contrast Enhancement Using Singular value and Discrete wavelet Decomposition

Abstract

<span style="font-size:12.0pt;font-family:" times="" new="" roman";="" mso-fareast-font-family:"times="" roman";mso-ansi-language:en-in;mso-fareast-language:="" en-in;mso-bidi-language:ar-sa"="">This paper proposes the image resolution and contrast enhancement techniques using DWT (Discrete wavelet transform), SWT (Stationary wavelet transform) and SVD (Singular value decomposition). The low resolution and contrast input image is equalized using GHE (Generalized histogram equalization). This equalized image is decomposed into the four frequency subbands by using DWT and the four subband images are interpolated using Bicubic interpolation technique. In this proposed method, the new LL is reconstructed using SVD and edges are enhanced using SWT. Then all these subbands are reconstructed as high resolution image using IDWT (Inverse discrete wavelet transforms). Hence this proposed algorithm enhances the image resolution and contrast over the conventional techniques. The experimental result shows the superiority of the proposed method over conventional techniques.</span>