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Research on Image Fusion Algorithm Based on Wavelet Analysis

Author: WangFang
Tutor: WuJin
School: Wuhan University of Science and Technology
Course: Pattern Recognition and Intelligent Systems
Keywords: wavelet decomposition image registration image fusion regional weighted variance weighted matching coefficient
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 68
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Abstract


Image fusion is one of the important image processing applications. It synthetics many images information to one using an image fusion technology, and the images’object is the same scenery coming from many sensors at the same time or a different time. Fused image could eliminate the possible existent redundancy and contradictions between multi-source information, and obtain the more clear, comprehensive and reliable image description of the same target. Fused image is more suitable for human visual perception and is easy to do the further analysis. Nowadays, image fusion already become an indispensable image information technology in the image processing field, and has the important application in many military and civilian parts.Multi-scale wavelet decomposition based image fusion method is one of the most popular methods. This thesis studies the image registration and image fusion technology based on wavelet decomposition. The main contributions are as follows:First, An image registration method including image edge extraction based on wavelet transform and the normalized mutual information is presented. By using the normalized biggest mutual information of edge image of wavelet extraction as the similarity measure to determine the transform model parameters, the image registration is completed. Simulation experiments indicate that the registration effect of the proposed method.Then introduce the image fusion technology based on wavelet transform, which is all based on pixel level in this paper. By multi-scale wavelet decomposition the rules are established through extracting the region weighted variance and the weighted matching coefficients, to achieve the purpose of improving image fusion effects. The result shows that with the improved fusion methods the fused image entropy and other performance indicators are improved significantly.This paper also summarizes some common image fusion evaluation method, and evaluates fusion quality based on wavelet improved image fusion algorithm.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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