Contrast enhancement of satellite images using advanced block based DWT technique

This paper sets forth enhancement of satellite portrait using advanced block based Discrete Wavelet Transform Technique. The contrast enhancement method uses the analysis of preeminent glaze levels and suitable flexible radiant transfiguration which performs DWT in reducing the rate of image which is given as input, into a group of band bounded constituents by a sampling factor, called High-High, High-Low, Low-High, and Low-Low sub bands. The brilliance propaganda is contained in the Low-Low sub-band where the input image with the preeminent glaze level is computed. According to the preeminent glaze level the Low-Low sub band is disintegrated into trilayer. The suitable flexible radiant transfiguration is processed in the disintegrated trilayer of the sub-band using knee shift function, dominant glaze level and gamma adjustment function. For preserving the texture of contrast suitable enhanced flexible radiant transfiguration is processed. The final enhanced image is acquired by means of the use of inverse DWT. In this method, the distant sensed image is bifurcated into petite blocks, and then each block is improvised using advanced block based discrete wavelet transform. The enhanced blocks are then fused together and by using inverse DWT, the emanated image is obtained. The glaze and radiance of the satellite image will be better when compared with the image used in the Existing systems. Haar Wavelet Transform (HWT) is used for disintegrating the pictures into sub-bands. Trilayer is formed using preeminent glaze level analysis. From the preeminent glaze, each disintegrated layer there is a generation of suitable radiance transfer function.