Study On Method Of Multi-Focus Image Fusion

Image fusion is a technique of image processing. It refers to the technique which gets a new image that meets the special technical requirements by dealing with a plurality of images, concerning one specific scene in different angles or levels, captured by different sensors at the same time (or at different times) according to a particular algorithm processing. The technique of multi-focus image fusion is to obtain an image which is clear when focused on all targets by handling with the various images focusing on different targets when shooting. This technology not only effectively improves utilization of image information, but also gets a wide application in the aspect of target detection and recognition. In recent years, image fusion techniques have been highly regarded home and abroad. They have been widely used in a variety of image processing fields.Firstly, this paper explains the status of the image fusion technology and the application of wavelet analysis theory in image processing. Secondly, it studies and discusses the image fusion methods from the time domain and transform domain in detail, and then compares and evaluates these results through a series of MATLAB simulation experiments. Then it analyses the shortcomings of the traditional multi-focus image fusion algorithm based on single wavelets and suggests improved algorithms which combined multiple wavelets, and programs the algorithm by using MATLAB tool. At last, the paper summarizes some achievements and shortcomings of this study, and indicates the direction of this study area.Comparing with other methods of experiment, the algorithm proposed in this paper can achieve better fusion effect.