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Satellite image enhancement based on multi-technology fusion

In this paper, a novel contrast enhancement technique based on bi-dimensional empirical mode decomposition (BEMD) and principal component analysis (PCA) is proposed for low contrast satellite image. The proposed method first decomposes the image into various intrinsic mode functions (IMF). The edge information is obtained by applying a weighted method between the residue and the gradient of the original image. The resultant image is calculated by applying PCA based fusion to the original image and the reconstructed image. Experiments are conducted on various satellite images to compare and analyze the performance of the proposed algorithm. The effectiveness of the presented approach is quantified in terms of entropy ratio (ER), peak signal to noise ratio (PSNR), the absolute mean brightness error (AMBE), image quality index(IQI) and structural similarity index measure (SSIM).