Digital image processing plays an important role in the analysis and interpretation of satellite image data. One of the most common degradations in satellite images is their poor contrast quality. Image enhancement technique help in improving the visibility of the image. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image. The main aim of this paper is to contrast and edge enhancements for digital satellite images using Discrete Wavelet Transform based Singular Value Decomposition and Morphological Gradient. The objective of the proposed method is that the input image is decomposed into different sub bands through DWT, estimating the singular value matrix of the low–low sub band image, and then, reconstructing the enhanced image by applying inverse DWT. To achieve a sharper color image, an intermediate stage for estimating the high-frequency sub bands is required. This is done by the success of threshold decomposition, gradient based operators are used to detect the locations of the edges, sharpen these detected edges. The results show the efficiency of proposed satellite image enhancement with color balances and not introducing unnecessarily artifacts. The proposed technique has been tested on satellite benchmark images. The quantitative (PSRN, MSE, RMSE, EME) and visual results show the efficiency of the proposed enhancement technique.