Fast image compression and transmission system based on FPGA

Abstract

The invention provides a fast image compression and transmission system based on an FPGA, and relates to the technical field of image processing. The system is applied to a system framework based on an FPGA and a processor ARM, and mainly comprises an image acquisition module, an image compression module, a data transmission module, an image decompression module and a display module. The system collects data through an image acquisition module and then transmits the data to an image compression module, both the image compression module and a decompression module are internally provided with FPGA modules, ARM chips and memory modules, and each FPGA module comprises an FIFO cache module and an encoding module. Input data are distributed through an ARM, configured parameters are transmitted to an FPGA through a serial port to cache four parts of FIFO data, the compressed and cached data are sent to a decompression module through the gigabit Ethernet to be decompressed, and finally the decompressed and cached data are displayed on a display screen through a display module. Through block caching, the transmission and compression speed is greatly improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an FPGA-based fast image compression and transmission system. Background technique [0002] With the development of information technology, under the requirements of different occupations, people have higher and higher requirements for image compression performance and application scope. While the demand increases, correspondingly, it puts huge pressure on the limited transmission bandwidth and storage space. Currently, image data is compressed using software. When the software compresses high-quality images, although the data transfer rate of the image can be improved, the CPU usage is very high. As a result, the entire system can only do this one thing, wasting system resources. Especially in today's remote sensing technology, the requirements for image transmission are getting higher and higher. As the remote sensing equipment for collecting images becomes more and...

AI Technical Summary

Problems solved by technology

While the demand is increasing, it puts huge pressure on the limited transmission bandwidth and storage space.

Currently, image data is compressed using software. When the software compresses high-quality images, although the data transfer rate of the image can be improved, the CPU usage is very high. As a result, the entire system can only do this one thing, wasting system resources

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