Research On Multi - Source Image Fusion Algorithm Based On NSCT And Improved PCNN

In the field of image fusion technology,image fusion due to its wide application, so it got more and more applications. And in numerous branch of the image fusion technology, Multi-source image fusion technology is the source image fusion of multiple sensors to receive objective image, because it can improve the overall performance of the system, but does not require a single sensor’s more performance, And it showed good performance in the aspects such as image recognition, image feature extraction, So the multi-source image fusion technology has attracted more and more attention of researchers. In the multi-source image fusion technology, in order to obtain the fusion image more reliable,more clear and more suitable for human visual perception. In this paper, the basic theory of multi-source image fusion technology, the basic concept is studied,on the basis of some existing multi-source image fusion algorithm,the Further study is how to improve the image’s quality on the more focus image fusion problem.This paper studies the main content as follows:1、Detailed introduces the content of this article involves the multi-source image fusion、Image fusion effect evaluation system, the basic principle and structure about the PCNN and NSCT.2、In the traditional PCNN algorithm, image grey value is directly as a neuron stimulation, but this method does not well distinguish the details of the object, spatial frequency is a transformation rate on the basis of unit pixels, It can very good satisfy the human eye is sensitive to the edge of the image details,therefore this article selects the spatial frequency in the field of local as neurons input.3、because of in traditional multi-scale decomposition and reconstruction of image fusion method, There is the phenomenon such as ghosts, This leads to the actual effect of the fusion image is not very clear, In reaction to the phenomenon in this paper, Based on the further study of the translation invariance characteristic of NSCT after transformation, this paper proposed the More focus on image fusion method based on the NSCT. The superiority of the method is verified by the experiments.4、the low frequency component after image multi-scale decomposition contains most of the image information,and high frequency component represents the image details, according to this feature, In this paper, the processing of low frequency part adopts the method of regional statistics, the processing of high frequency part adopts the method of the value of SF as excitation input of PCNN. The experimental results show that, This method not only has good clarity on the visual effect of the human eye, at the same time, the objective evaluation standard also has obvious advantages.