Image Resolution Enhancement in Satellite Based On Discrete Wavelet Transform
Bejugam jyothi, G ramesh · IOSR Journal of Electronics and Communication Engineering · 2014
Satellite images are being used in many fields of research. One of the major issues of these types of images is their resolution. In this project, I propose a new satellite image resolution enhancement technique based on the interpolation of the high-frequency sub bands obtained by discrete wavelet transform (DWT) and the input image. Resolution of an image has been always an important issue in many image-and videoprocessing applications, such as video resolution enhancement, feature extraction, and satellite image resolution enhancement. Interpolation in image processing is a method to increase the number of pixels in a digital image. Interpolation has been widely used in many image processing applications, such as facial reconstruction,. The DWT operation results in four decomposed sub band images referred to low-low (LL), low-high (LH), high-low (HL), and high-high (HH). The frequency components of those sub bands cover the full frequency spectrum of the original image. The proposed resolution enhancement technique uses DWT to decompose the input image into different sub bands. Then, the high-frequency sub band images and the input low-resolution image have been interpolated, followed by combining all these images to generate a new resolution enhanced image by using inverse DWT. In order to achieve a sharper image, an intermediate stage for estimating the high frequency sub bands has been proposed.