Runtime reconfigurable embedded security real-time image compression system

Abstract

The invention discloses a runtime reconfigurable embedded security real-time image compression system and a runtime reconfigurable embedded security real-time image compression method. An image acquisition module is used for acquiring an original image, and temporarily storing the image. The data processing module acquires original image data from the image acquisition module, compresses and codes the original image data, and controls the output of a compressed code stream to a wireless communication module. The wireless communication module is used for the transmission and reception of the data. A power supply module is used for supplying required power to each corresponding module. An advanced RISC machine is taken as a core control unit, and is used for communicating with an upper computer, receiving an encrypted partial-reconfigurable configuration file from the upper computer and transmitting the compressed image data to the upper computer. In a management reconfiguration process, the partial-reconfigurable configuration file is decrypted, and the reconfiguration of a field programmable gate array (FPGA) is controlled. The FPGA serves as a joint photographic experts group (JPEG) image compression accelerator and accelerates an image compression process by parallel processing and pipelining technologies, and a quantification module and a Huffman coding module are dynamically changed by a runtime reconfigurable technology, so that security is enhanced.

Description

[0001] technical field [0002] The invention relates to a reconfigurable embedded security real-time image compression system during operation. Background technique [0003] With the rapid development of multimedia technology and network communication technology, especially the development of the Internet of Things in recent years, people's demand for real-time image and video information has been greatly promoted. The transmission of traditional real-time images and videos mainly adopts wired methods, which greatly reduces the mobility and ease of use of real-time image and video acquisition equipment. In order to solve this problem, the wireless network that is currently in the rapid development stage can be used instead, but the wireless network bandwidth is very limited and the security is low, so these problems must be solved first to make wireless network transmission possible. Compressing the original image and reducing the size of the image is undoubtedly an effect...

AI Technical Summary

Problems solved by technology

The first one is to use a separate microcontroller (MCU). This implementation is less costly, but the MCU has limited computing power, which is far from meeting real-time requirements.

The second method uses a microcontroller + digital signal processor (DSP). This implementation overcomes the defect of insufficient MCU computing power to a certain extent, but the cost is greatly increased, and it is not conducive to system integration.

The third is also the most mainstream one, using a dedicated image compression processing chip (ASIC), but the dedicated image processing chip is less flexible, the encoding method is fixed, and the standard JPEG file interchange format (JFIF) is used in transmission, not only Not safe, and each image contains a lot of the same file header information, taking up valuable bandwidth resources

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