Abstract
The article explores the possibilities of implementing the JPEG-LS image compression algorithm on Field Programmable Gate Arrays (FPGA) for processing monochrome video streams from Earth surface scanners. A comparison of software implementations of the algorithms, their compression ratio, and execution time is conducted. Methods for improving FPGA performance are considered, using parallel data processing and optimized data structures to accelerate compression and decompression processes. Test results of the software implementation of the algorithm show an average processing speed of 179.2 Mbit/s during compression and 169.6 Mbit/s during decompression. A compression ratio from 1.2 to 7.4 can be achieved depending on the complexity of the image. Key words: FPGA, JPEG-LS, Field-programmable gate arrays, Image compression, Image processing, Video compression, Video stream processing.
Published Version
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