Edge preserving Satellite image enhancement using DWT-PCA based fusion and morphological gradient

Image processing is a very broad field that includes compression, feature detection, and classification etc. The output of the digital sensor is a “raw” digital image that consists of an array of digital count values with each value representing the brightness, or gray level, of a pixel in the image. The effort on edge enhancement is to emphasize specific feature of the image for visual perception or feature extraction. Edge-preserving image enhancement is of great interest in Satellite image processing. In this study we propose a DWT-PCA based fusion and Morphological gradient for enhancement of Satellite images. The input image is decomposed into different sub bands through DWT. PCA based fusion is apply on the low-low sub band, and input image for contrast enhancement. IDWT is used to reconstructs the enhanced image. To achieve a sharper boundary discontinuities of image, an intermediate stage estimating the fine detail sub bands is required. This is done by the success of threshold decomposition, morphological gradient based operators are used to detect the locations of the edges and sharpen the detected edges. The proposed method has been shown that improved visibility and perceptibility of various digital satellite images.