Wavelet Based on Satellite Image Resolution Enhancement

Aparna Gupta, Sonika Arora

Satellite images are being used in many fields of research. Satellite images are being used in many applications like Meteorology, Agriculture, Geology, Forestry, Landscape, Biodiversity, Planning, Instruction, Area and oceanography. The Image Enhancement is the main technique for improving the resolution and visual appearance of the image. One of the major issues in Image Enhancement is Wavelet Transform. The Wavelet Transform is the technique which decomposes an image into a set of basic functions called Wavelets. A new satellite image resolution enhancement technique based on the interpolation of the high-frequency sub-band images obtained by discrete wavelet transform (DWT) and the input image. DWT is applied in order to decompose an input image into dissimilar sub-bands. Then the high frequency sub-bands as well as the input image are interpolated. All these sub-bands are combined to generate a new high resolution image by using inverse DWT (IDWT). The quantitative peak signal-to-noise ratio (PSNR) and root mean square error (RMSE) and visual results show the superiority of the proposed technique over the conventional bicubic interpolation, wavelet zero padding and state-of-art image resolution enhancement techniques.