Document Abstract
Image enhancement is a technique to improve the quality of an image. The aim of image enhancement rocess is to improve the interpretability or perception of information in images for human viewers, or to provide 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 preprocesses poorly concentrated or degraded satellite images by composing numerous consecutive autonomous
processing phases which overturn noise, enrich contrast& up turn the clearness of the image and it also lessens the effect of blur and noise. 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. Certain conversion functions utilize local substantial content for modifying image details, such as quality &boundaries. An effective method for improving the image quality is also introduced, in which a plotting utility, blend of universal and local conversion functions, is utilized which preserves the intensity and fine facts of the input image in addition. Contrast widening and Image intensity is preserved completely by universal conversion function.Fuzzy based enhancement is also applied to enhance the image. Sharpening filters are used in order to highlight fine details within an image. They are based on first and second order derivatives. Finally output of each stage is compared by using PSNR parameters.