Satellite Image Enhancement Using DWT – SVD and Segmentation Using MRR –MRF Model

Satellite image is used in many applications such as geosciences studies, astronomy and geographical information systems. The most important quality factors in images come from its resolution. The satellite image enhancement technique using Discrete Wavelet Transform and Singular Value Decomposition. This Techniques decomposes the input image into four frequency sub band by using Discrete Wavelet Transform and also calculate the Singular Value Matrix of the Low-Low Sub band images and equalize the enhanced images through Inverse Discrete Wavelet Transform. After the enhancement process the image segmentation technique is applied to the image the model incorporates the multiregional Resolution and the Markov Random Field techniques to improve the segmentation accuracy, improve the quality of an image and it reduce the noise of the satellite images. Index Terms – Discrete Wavelet Transform, Singular Value Decomposition, Multi Region Resolution, Markov Random Field, Generalized Histogram Equalization.