Study And Implement Of Image Fusion Based On Multi-wavelet

With the development of new imaging sensors, computer technology and information processing technology, image fusion is utilized successfully in a broad variety of fields including military, remote sensing, automatic target recognition, machine vision, medical image processing, and etc. Image fusion is to get a more accurate, comprehensive and reliable image description of the same target through using the information of multiple images and by certain algorithm.A systematic introduction about the pretreatment、delamination and development of image fusion is present. Some traditional methods are researched and implemented, such as Simple Average, Laplacian Pyramid Transform and IHS Transform, analyzing their advantages and disadvantages.Multi-wavelet theoretics is researched in paper which is focusing in image fusion. Multi-wavelet is an extension form wavelet theory. Characters of multi-wavelet have the important influence in image fusion. After researching the theory and quality of multi-wavelet, two multi-wavelet construction methods are introduced in this paper. According to the pre-filter of multi-wavelet, three designed pre-filters of multi-wavelet are introduced. After expatiating multi-wavelet theoretics applying in image fusion, the paper combines with local character, implement local deviation, local energy and local gradient of multi-wavelet transform in image fusion.Experiments show local character, implement local deviation、local energy and local gradient of multi-wavelet transform excelled traditional methods and wavelet transform in image fusion.