High dynamic image compression processing system based on fpga

Abstract

The invention discloses a high dynamic image compression system based on an FPGA. The system is mainly used for solving the problem that the prior art is low in timeliness, depends on a high power platform and is low in portability. The system comprises a high dynamic image collection unit (1), a data transmission unit (2), a high dynamic image compression unit (3) and an image display unit (4). The high dynamic image collection unit obtains high dynamic image data and then transmits the data to the high dynamic image compression unit through the data transmission unit. The high dynamic imagecompression unit compresses high dynamic images into low dynamic images and then transmits the images to the image display unit for display through the data transmission unit. According to the system,hardware acceleration is carried out on an image entropy maximum high dynamic image compression algorithm, processing speed and data throughput of the system are improved, portability of the system is improved through utilization of an embedded platform based on the FPGA, system power consumption is reduced, and the system can be applied to a high dynamic image compression technology in an embedded environment.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a high dynamic image compression processing system, which can be used to compress the dynamic range of the high dynamic image in an embedded scene. Background technique [0002] High dynamic range HDR images can fully display the details of the scene. However, the existing display devices cannot directly display images due to the limited dynamic range. Therefore, it is necessary to compress the dynamic range of the high dynamic image to meet the display requirements of the monitor. The global compression algorithm based on the largest image entropy has high computational efficiency, low algorithm complexity, and good image effect after compression. It is one of the more efficient high-dynamic image compression algorithms at present. However, this algorithm requires a platform based on the central processing unit CPU, which has high power consumption and large vol...

AI Technical Summary

Problems solved by technology

The system has the following two shortcomings: First, in order to ensure the processing accuracy, the system calculates the complex calculation results first using software, and then builds a large number of lookup tables and saves them in the FPGA. This method will consume a lot of storage resources

Second, this method does not have enough digits to save the double-precision floating-point data generated by the intermediate results of the algorithm, resulting in poor image processing effect

The deficiencies of this system have the following two points: first, the system needs to run on the platform based on the central processing unit CPU, the power consumption is large, and the portability is not strong

Second, the system uses a software compression algorithm, the parallelism of the calculation process is low, the image processing speed is low, and the real-time performance is not strong

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