Abstract
IMPROVE QUALITY OF GEOGRAPHICAL IMAGES USING DISCRETE WAVELET TRANSFORM BASED EDGE ENHANCEMENT AND FUZZY CONTRAST ENHANCEMENT TECHNIQUE
*Nidhi Sharma and Lalit P. Bhaiya
ABSTRACT
Picture improving could be a strategy to support the nature of an image. The aim of image enhancement process is to Enhance 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 displaying very surprising procedures for satellite picture enhancement. For removal of noise and blur different instinctive procedure suggested in this paper that pre-processes poorly concentrated or degraded remote sensing images by composing numerous consecutive autonomous processing phases which overturn noise and increase contrast of the image. Contrast Enhancement 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.
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