Studies Of Image Enhancement Method Based On Wavelet Transform Image Fusion

The image enhancement is to improve quality of the image on general sense, by improving visual effect of the image through a series of technologies, or by transforming the image into a form suitable for human observation and machine automated analysis. But one kind of image enhancement method works well only in enhancing some types of image, not the other. Therefore, an effective method needs widespread experiments and analysis before it becomes applicable.Image fusion method in image processing has been developed rapidly over the past decade and is widely used in fields like, military, medicine and remote sensing. It provides a new solution by integrating two or more sources of information to obtain more accurate, comprehensive and reliable description of the image from the same scene. Recently the image fusion method is used for multi-sensor image fusion, such as visible light, the optical integration image and so on. This paper applies multi-source image fusion method in a single image enhancement, with the method of using the conventional image enhancement techniques such as the amendment histogram, image sharpening, etc. to process a single image into a number of sources of fusion image, and then based on the image fusion technology of wavelet transform to enhance its image quality, and then integrating wavelet image fusion domain to get better contrast and more details enhanced images. Analysis and assessment are also given on other methods using the different fusion algorithm, experiments are done to prove the effectiveness of the method.