The Implementation Of Image Enhancement System Based On DSP Platform And RF5 Frameworks

Nowadays,digital electronic technology developing rapidly,the popularity of digital signal processor is more and more high,the scope of application is also more and more widely,the DSP digital signal processor has played a crucial role in the field of digital electronics.Image enhancement plays an important role in image processing to improve image quality,it emphasizes the information you want,for some information can be suppressed,so it can optimize the image observation effect,can make the image analysis and computer calculation for the observation of treatment more friendly.Method of image enhancement can be divided into two kinds of methods to enhance the spatial and frequency domain,in the frequency domain enhancement method,because wavelet transform has good local time frequency characteristics,so it has been widely used in the field of digital image processing.This design uses the TMS320DM642 DSP development platform,RF5 reference framework,to achieve the image loading,enhancement,display algorithm operations,and achieve the standardization of structured development of the system.Compared with embedded tools such as ARM and FPGA,DSP can easily implement large data operations and achieve fast real-time data processing because of its Harvard structure and special hardware multiplier.RF5 is a reference framework,a key component of eXpressDSP software,and the software architecture developed by RF5 can be used in a certain range.Because of the use of RF5,the interface of algorithm and system software is standardized,and the integration task of the system is reduced,and the corresponding development cycle is greatly shortened.In this paper,Matlab/Simulink and CCSV3.3 are used to implement wavelet transform image enhancement algorithm by code automatic generation technology.Finally,through subjective and objective way to evaluate the processed image enhancement system through the design and implementation of the inspection system and the rationality and practicability of the algorithm,and put forward the improvement suggestions and future prospects for the development of the system.