Design And Implementation Of A Multiple Wavelet Image Fusion System Based On RF5 Frameworks

In response to the contradiction between the various product on the market at present and short development cycle, concurrent engineering become an inevitable trend. Thus, the extensibility of electronic products and the standardization of the development process has become the criterion of system performance. To get a more accurate and reliable description of the same processing image objects, this method use corresponding image processing technology combine the effective information of different images. The advantages of pixel-level image fusion method are higher applicability, getting much more information, and wider use field, etc. But it can produce a large amount of data i in the process of fusion algorithm, at the same time, the current data integration platforms which are widely used today cannot fully meet the needs of image display in the process of image fusion..Such excellent characteristics as orthogonal, a larger disappearance of the moment, short support and symmetry of multi-wavelet, fills the blank of multiple wavelet in the complex applications. Since it can accurately divide the information of an image into low and high frequency, it is widely used in the digital image processing field. Compared with ARM and FPGA, DSP with Harvard structure, integrated specialized hardware multiplier, can easily achieve big data operation and realize a faster real-time data processing.To sum up, this paper adopts TMS320DM642 chip of TI company as a development platform,.To realize the standardization of the system development, RF5 framework has been used to completed such operation algorithms as digital image fusion/display/load for a registered image which was transformed by multi-wavelet processing method. In order to overcome the shortcomings of inefficient and complicated brought by difficult and time consuming process in the traditional DSP programming system, this paper adopts an automatic code generation method which integrate Matlab/simulink software, CCS4.0 (embedded tool, connect software), to fulfill the task of DSP multiple wavelet image fusion. At algorithm implementation stage, combining TMS320DSP algorithm standards and RF5 reference framework to achieve the standardization between implementation algorithm and software interface.So it can reduce system integration tasks, shorten the development cycle and display big data.