A Qualitative Approach for Resolution Enhancement of Satellite Images Using 2-DWT
R. Thriveni, T. Ramashri · 2012
Image Resolution and Enhancement plays a vital role in analyzing images in various engineering and bio medical fields. Satellite color images are being used in many fields of research. One of the major issues of these types of color images is their resolution. Satellite color image resolution enhancement technique based on the interpolation of the high-frequency sub bands obtained by discrete wavelet transform (DWT) is useful to attain optimum results enriched with brightness and contrast rise. The input image is decomposed into different sub bands through DWT. The high-frequency sub band images and the input low-resolution color image have been interpolated, followed by combining all these color images to generate a new resolution-enhanced color image by using inverse DWT. To achieve a sharper color image, an intermediate stage for estimating the high-frequency sub bands is required. The quantitative parameters i.e., peak signal-to-noise ratio and root mean square error and visual results show the superiority of the proposed technique over the conventional and state-of-art color image resolution enhancement techniques.