The Research Of Real-time Image Enhancement And Its System Design

Modern image processing technology is developing rapidly, so that the timeliness of transmission of information have become increasingly demanding, and real-time image processing is becoming a major development direction of image processing. Performance of CPU and the algorithms restrict the development of real time image processing. Recent years, the development of DSP technology makes the throughput of real-time information processor been greatly improved and its processing capability followed strengthened. There are also many breakthroughs of image enhancement algorithms in structural optimization, so that processing delay becomes shorter and shorter, which shows that real-time processing technology is booming.This paper describes the hardware design and software design of real-time image processing system firstly. Hardware system use TMS320DM642 DSP chip as the core, it also included the cache, video port, EDMA and EMIF. Function modules include the acquisition module, memory modules, power modules and serial communication modules. Software system includes image acquisition, target identification, target size calculation, target tracking, target enhancement and other modules, the basic principles and code of these parts are described.Secondly, in order to solve the two problems encountered in engineering applications, two corresponding improved algorithms are proposed: improved contrast enhancement algorithm based on local statistical characteristics and the dynamic single target recognition algorithm, which solve the problems of poor anti-noise performance of traditional enhancement algorithm and dynamic enhancement of single tagert. Furthermore, an improved binary connected domain detection algorithm is proposed. It lists several commonly used conventional algorithms, and use simulation software to analyze the feasibility of the algorithm.Finally, three groups of experiments have been finished to validate these improved algorithm proposed in this article. We build an experimental platform and design software algorithms to conducted experiments obtain experimental data, then the experimental data are analyzed. It can be concluded that three kinds of improved algorithms play well in image processing, they are of great significance in engineering applications.