Image Contrast Enhancement Using Singular Value Decomposition for Gray Level Images

In this letter, analyze the satellite images by using discrete wavelet transform and singular value decomposition. The input image is decomposed into the four frequency sub bands by using DWT and estimates the singular value matrix of the low–low sub band image and then it reconstructs the enhanced image by applying inverse DWT. The technique is compared with conventional image equalization techniques such as standard general histogram equalization and local histogram equalization as well as state-of-theart techniques such as brightness preserving dynamic histogram equalization. The experimental results show the superiority of the proposed method over conventional methods.