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Wavelet based Image Fusion Techniques

P. Mirajkar Pradnya, Sachin D. Ruikar

Abstract


The fusion of images is the process of combining two or more images into a single image retaining important features from each. Fusion is an important technique within many disparate fields such as remote sensing, robotics and medical applications. The result of image fusion is a single image which is more suitable for human and machine perception or further image-processing tasks. The image fusion algorithm based on wavelet transform is proposed to prove the geometric resolution of the images, in which two images to be processed are firstly decomposed into sub images and then the infor-mation is performed using these images under the certain criteria and finally these sub images are reconstructed into result image with plentiful information.. In this paper four different image fusion me-thods based wavelet transform are implemented. And the results are compared and best method is found.

Keywords


Image Fusion, Wavelet Transform, Filter Mask, PCA, Stationary Wavelets

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References


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