Image Enhancement based on Stationary Wavelet Transform, Integer Wavelet Transform and Singular Value Decomposition

Abstract

In this paper, the image enhancement technique with respect to resolution and contrast has been proposed. The proposed method is based on bi cubic interpolation, stationary wavelet transform, discrete wavelet transform and singular value decomposition. In the proposed technique stationary wavelet transform decomposes the input image into sub bands having different frequency coefficients. The high frequency coefficients have been multiplied with the orthogonal matrix (hanger and aligner) coefficients, obtained using singular value decomposition of low resolution input image. Resulting sub bands are further added with the high frequency sub bands obtained using stationary wavelet transform. Then, the low resolution input image and high frequency sub band images are interpolated using bi cubic interpolation. Inverse integer wavelet transform has been used to combine all these sub images. Image equalization is done on this image using singular value equalization. The proposed technique is tested on different satellite images. The experimental results show the proposed method gives good results over conventional methods.