Improvement of spectral and spatial information using WAMM and bi-cubic interpolation method in Non-subsampled contourlet transform domain

Pan-sharpening is widely used as a tool toconstruct remotely sensed image, which is rich in both spectral and spatial contents. Panchromatic sharpening is used to improve the spatial resolution and provide an enhanced visualization of a multiband image using the high-resolutions, single-band image. The main scope of pan-sharpening is to maximize the spatial content simultaneously and minimize the spectral distortions which occur during processing. There are many approaches to implement pan-sharpening like principal component analysis (PCA), Intensity, hue and saturation (HIS), and WAVELET. The main drawback of these approaches is the distortion of spectral resolutions. However, Non-subsampled contourlet-transform (NSCT) approach is proved to be efficient. It is alsovery efficient in representing directional information and to capture intrinsic geometrical structure of the object. It combines features like high resolutions, shift-invariance and high-directionality. In this paper modified bi-cubic interpolation method and weighted average merging method (WAMM) are used. By using these methods the image issharper and there is no softening of details in the image, thus improving the quality. In the proposed paper it is possible to improve the efficiency of an image both spectrally and spatially with better efficiency compared to existing methods. The evaluation of efficiency of these methods is done by simulation, using performance metrics like RGE and Q4.