Research On Image Enhancement Algorithm Based On Histogram Partition Mapping

Image enhancement technology plays a very important role to improve image quality in image processing. By enhancing some information and restraining other information selectively it can improve image visual effect and transform an image to another form which adapts to human observation or computer analysis and processing better. Because image enhancement is closely related to the property of the interested target, the habit of observers and the specific processing object. So, the image enhancement algorithm is only aimed at the given processing object, too. According to some new thoughts, this paper puts forward some new image enhancement thoughts to solve some problems during the process of image enhancement.Firstly, in order to solve the drawback of the lack of control and option in the multi-level image enhancement process, multi-level image enhancement algorithm based on fuzzy relaxation iterative procedure is proposed. The different level image content can be enhanced by choosing fuzzy relaxation parameters and suitable iterative processing times.Secondly, in order to solve the problem that histogram equalization technology leads to excessive enhancement of high frequency gray level and compresses low frequency gray level, and the problem that traditional image enhancement algorithm could not emphasize the characteristics of original histogram. At the same time, in order to make the enhance process possess purpose, image enhancement algorithm combines maximum gray frequency restrict with dynamic histogram equalization and dynamic partition image enhancement algorithm based on optimal adaptive histogram specification function induct are proposed. The problem of excessive enhancement is solved by maximum gray frequency restrict, the problem that could not emphasize the characteristics of original histogram is solved by constructing a optimal desired histogram adaptively, and the problem of lacking purpose is solved by dynamic mapping.Finally, in order to color gray image effectively, and make the color image more natural and realistic, adaptive coloring grayscale image based on multiple color images competing selection model is proposed. The purpose can be achieved by the automatic image retrieval technology and multi-image adaptive mixed color transfer technology.