KEYWORDS: Digital signal processing, Image processing, Field programmable gate arrays, Telecommunications, Real time image processing, Transceivers, Computer architecture, Data communications, Computing systems, Computer programming
A novel DSP/FPGA-based parallel architecture for real-time image processing is presented in this paper, DSPs are the
main processing unit and FPGAs are used to be logic units for image interface protocol, image processing, image display,
synchronization communication portocol of DSPs and DSP's reprogramming interface of 422/485. The presented
architecture is composed of two modules: the preprocessing module and the processing module, and the latter is
extendable for better performance. Modules are connected by LINK communication port, whose LVDS protocol has the
ability of anti-jamming. And DSP's programs can be updated easily by 422/485 with PC's serial port. Analysis and
experiments result shows that the prototype with the proposed parallel architecture has many promising charactersitics
such as powerful computing capability, broad data transfer bandwidth, and is easy to be extended and updated.
This paper presents a new method for multi-focus image fusion. In the method, the source images are first decomposed
into blocks, and the decomposed images are then combined by the use of adaptive Wiener filter. Effects of the block size
and threshold are analyzed, and comparison with wavelet transform based method is done. Experimental results show
that the proposed method is comparative to wavelet transform based methods for the images without noise, while this
method is computationally simpler, and can be implemented in real-time applications. Experimental results also show
that under noise circumstances, additive noise or multiplicative noise, the proposed method is obviously superior to the
wavelet based method.
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