Satellite Image Enhancement

ABSTRACT To propose a satellite image contrast enhancement technique based on the discrete wavelet transform (DWT) and singular value decomposition (SVD).In this technique DWT decomposes the input low contrast satellite image into four frequency sub bands referred to as low-low (LL), high-low (HL). Low-high (LH), high-high (HH) and estimates the singular value matrix of the low-low sub band image. The singular value matrix represents the intensity information of the given image and any change on the singular values change the intensity of the input image. After reconstructing the final image by using inverse dwt, the resultant image will not only be enhanced with respect to illumination but also will be sharper with good contrast. This technique is compared with conventional image equalization technique such as general histogram equalization (GHE). The visual and quantitative results suggest that the proposed DWT and SVD method clearly out performs the GHE method.