Multi-core DSP Research Articles

Robust velocity computation from a biologically motivated model of motion perception

Current computational models of motion processing in the primate motion pathway do not cope well with image sequences in which a moving pattern is superimposed upon a static texture. The use of non–linear operations and the need for contrast normalization in motion models mean that the separation of the influences of moving and static patterns on the motion computation is not trivial. Therefore, the response to the superposition of static and moving patterns provides an important means of testing various computational strategies. Here we describe a computational model of motion processing in the visual cortex, one of the advantages of which is that it is highly resistant to interference from static patterns.

System Design for Real-time Image Processing Based on Multi-core DSP

In the process of real time image processing, the amount of image processing computing and data is very large, the use of single core or a single DSP can not meet the needs of real-time image processing. This paper designs the new generation multi-core DSP real-time image processing system, the system is a multi-core high performance DSP as the core circuit, and also uses FPGA counterweight device, high-speed data interface and high-speed external memory, to improve the data cache speed and data bandwidth, and the system satisfies the design of low loss and high computational performance. In order to verify the validity and reliability of the system, this paper uses the Hyper Lynx software to carry on the simulation test for the system, and sets the IP and sub net mask of image real time processing to obtain the eye and timing diagram of real-time image processing. Finally, the system image processing performance results can be obtained by the joint debugging, the simulation test results can be seen that the speed of real-time image processing is quick, and the rate of correct recognition is high, which can satisfy the need of real-time image processing, to provide the technical reference for the design of real time image processing system