Published Paper Details:

Image enhancement is a technique to improve the quality of an image. The aim of image enhancement process is to improve the interpretability or perception of information in images for human viewers, or to give better input for other automated image processing techniques. In this paper we are presenting different techniques for satellite image enhancement. For removal of noise and blur different instinctive procedure suggested in this paper that pre-processes poorly concentrated or degraded satellite images by composing numerous consecutive autonomous processing phases which overturn noise and increase contrast of the image. Contrast improvement are being aided by the universal data content of an input image by enlarging the dynamic variety of intensity levels, utilized by Conversion functions. For edge enhancement DWT based algorithm is applied where high level component which contains the edge information of image are extracted using DWT and enhanced using sharpening filter. Finally, using inverse DWT operation enhanced image is generated..Fuzzy contrast enhancement is also applied for setting contrast level at last stage. Finally output of each stage is compared by using PSNR parameters.