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An FPGA Bit Stream Implementation of the Modified Golomb-Rice Algorithm for Lossless Compression

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For FPGA reconfigurable systems, Bitstream compression technique is mostly suitable for better Compression Ratio (CR) and total reconfiguration time. Many researchers introduced different compression algorithms for bitstream. However, Run-Length Encoding (RLE) and Golomb algorithm methods used for bitstream compression. However, these techniques give poor compression ratio and reconfiguration time. This paper proposes a Modified Golomb-Rice (MGR) algorithm. This MGR algorithm comprises of changing the 1-bit long strings by encoding its length with an iterative Golomb-Rice algorithm. The MGR bitstream compression is implemented in FPGA. This implementation result gives better compression ratio and better reconfiguration time as compared with other RLE and Golomb methods.
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Keywords: Golomb; Modified Golomb-Rice (MGR) Algorithm; Run-Length Encoding

Document Type: Research Article

Affiliations: 1: Research Scholar, Department of ECE, Government College of Technology, Coimbatore 641013, Tamilnadu, India 2: Department of ECE, Government College of Technology, Coimbatore 641013, Tamil Nadu, India

Publication date: 01 July 2017

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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