Enhancing the quality of satellite images by preprocessing and contrast enhancement

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. In this paper, an effective method for improving the image contrast, is 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. The instinctive procedure suggested in this paper preprocesses poorly concentrated or degraded satellite images by composing numerous consecutive autonomous processing phases which overturn noise, enrich contrast & upturn the clearness of the image and it also lessens the effect of blur and noise. Finally output of each stage is compared by using PSNR parameters.