Research On Image Enhancement And Image Fusion

Image Enhancement image processing is a major task,Its main role is to improve the image of the visual effects. At the same time as image recognition, image understanding, and other services to the task, In image processing, image enhancement technology to improve the quality of the images have played an important role. Through selective emphasis on certain images and the suppression of information out some information in order to improve the image of the visual effects, the original image into a more suitable for human observation and computer analysis to deal with the form.This article focuses on ways to enhance the image of the neighborhood average, median filter and infra-red image histogram equalization for a more in-depth study, And for the needs of actual work, put forward and implemented to improve the algorithm. Through a large number of experiments show that this paper, the image enhancement method for the acquisition of the radar images than existing common and some of the better ways to enhance the effect of enhancing..Multi-source image fusion is the image and understanding in the field of computer vision is an important issue, and based on wavelet analysis of multi-source image fusion research in the field is one of the hot spots. In this paper, the wavelet domain image fusion system for a more in-depth research, the main ones are as follows:1. Fusion of multi-source image of the principles and methods are reviewed, and the current lack of a unified image fusion in the field of integration framework, to study and try to sum up a multi-resolution based on the decomposition of the image fusion framework of the program, It is basically a summary of the current multi-resolution based on the decomposition of the image fusion in the area of the main fusion program. After the integration of the research has a certain significance.2. Multiwavelet theory on the initial research, the introduction of such a mathematical tool for image fusion research, In this paper, the best integration of infrared and visible light images of the tree based on the wavelet decomposition of the integration algorithm, and a large number of related experiments. Experiments have proved that the method is other than a multi-resolution image decomposition method of integration and better integration of the effectiveness and robustness.