Expandable intelligent image processing acceleration device and method

Abstract

The invention discloses an expandable intelligent image processing acceleration device and method. The acceleration device comprises a lens, an intelligent image acquisition unit, an intelligent imageprocessing unit, an intelligent image processing driving unit and a network communication unit. The expandable intelligent image processing acceleration method comprises the following steps: generating specific configuration information according to original data, an image processing task to be executed and an adopted image processing algorithm; loading the image processing algorithm, and settingan accelerated processing process according to the specific configuration information; inputting the original data, and executing accelerated processing of an intelligent image; and outputting the result of the accelerated processing. Through adoption of the expandable intelligent image processing acceleration device and method, the acceleration of intelligent graphic image processing can be realized with low cost, low power consumption and high efficiency; the bandwidth demand and delay of memory access in an operation process can be reduced on the premise of adapting to various image compression algorithms; and the power consumption is lowered while the performance is improved.

Description

technical field [0001] The invention relates to the technical field of graphics and image processing, in particular to a scalable intelligent image processing acceleration device and an acceleration method. Background technique [0002] Image processing is a part of the discipline of signal and information processing, and it is also the most important part in the field of video surveillance. With the rapid development of technology, image processing has made great progress in terms of algorithm, system structure, application and popularity. However, the accelerated processing of intelligent images requires continuous research and development of a large number of technologies. The current image-intensive computing solutions have very high hardware costs and power consumption requirements. [0003] Under the data operation and reading and writing requirements of different algorithms, how to ensure that the data throughput will not form a bottleneck, so as to realize the full u...

AI Technical Summary

Problems solved by technology

[0002] Image processing is a part of the discipline of signal and information processing, and it is also the most important part in the field of video surveillance. With the rapid development of technology, image processing has made great progress in terms of algorithm, system structure, application and popularity. However, the accelerated processing of intelligent images requires continuous research and development of a large number of technologies. The current image-intensive computing solutions are very high in terms of hardware costs and power consumption requirements.

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