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Satellite Image Enhancement: A Review

: In different fields of research and applications, satellite images are used. Its resolution is the main limitation of satellite images. Improvement of image resolution is therefore very necessary and the first step in the processing of images. The image resolution enhancement is to modify an image under some consideration so that the image obtained is superior to the original image for the specified application. In different domains such as Spatial and Transform domain, resolution enhancement of images can be performed. High-resolution images yield better results for a particular application. The authors then built an adaptive detail enhancement function based on the edge response during the process of detail enhancement and synthesis to prevent the exaggeration of strong edges and increase the enhancement of small details. Finally, a tonal correction algorithm based on energy optimization is presented to eliminate the distinct tonal differences of the enhanced image from the input image in order to maintain the color values of the input image and the gradient values of the enhanced image. Their experimental results show that for arbitrary input images with unified parameter setting, which is superior to the state-of - the-art methods, tone-consistent image detail enhancement effect is available.