Directional contourlet based multi-resolution image fusion method for INSAT images

Abstract

Among the accessibility of multi-detector information in numerous fields, image fusion has received growing consideration in the researchers for a extensive spectrum of applications. Image fusion is the procedure to merges statistics from various images of the identical view. These pictures perhaps taken from various detectors, obtained at dissimilar times. In this paper, an image fusion technique rely on Directional Contourlet transform is proposed to improve the quality of image and meet the needs of application of vision. Two or more images to be fused should be decomposed using Contourlet with multi-resolution frequencies. The resulting sub-images are fused using Directive Contrast rule to obtain the combined image. As the wavelet transform has several special features in evaluation with scalar wavelets on image processing, but it flushes it to keep the inherent information. The efficacy of the proposed scheme has been explained using various image sets such as the multi-focus pictures, multi-detector satellite image. The proposed Directional Contourlet transform based fusion method has compared with wavelet transform image fusion method qualitatively and quantitatively. Experimental results concluded that the proposed scheme performs superior for image fusion in comparison with wavelet transform.