Satellite Image Compression using RICE Algorithm
Pooja R1, Harshitha U2, Supriya S3, R Supriya4, Keerti Kulkarni5
1Pooja R, Satellite Image Compression using RICE algorithm, UG student, ECE Department, BNM Institute of Technology, Karnataka, India.
2Harshitha U, Satellite Image Compression using RICE algorithm, UG student, ECE Department, BNM Institute of Technology, Karnataka, India.
3Supriya S, Satellite Image Compression using RICE algorithm, UG student, ECE Department, BNM Institute of Technology, Karnataka, India.
4R Supriya, Satellite Image Compression using RICE algorithm, UG student, ECE Department, BNM Institute of Technology, Karnataka, India.
5Keerti Kulkarni, Satellite Image Compression using RICE algorithm, Assistant Professor, ECE Department, BNM Institute of Technology, Karnataka, India.
Manuscript received on 21 March 2019 | Revised Manuscript received on 26 March 2019 | Manuscript published on 30 July 2019 | PP: 1082-1085 | Volume-8 Issue-2, July 2019 | Retrieval Number: A1952058119/19©BEIESP | DOI: 10.35940/ijrte.A1952.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Processing of satellite images is time-intensive owing to the large surface of the earth and the necessity for high resolution. Compression algorithms are an active research topic since there is no single algorithm which can achieve the best compression at the highest speed. Different compression algorithms need to be explored to enhance the speed of the analysis. Here, a lossless compression scheme using RICE algorithm is implemented using Matlab and Verilog on a satellite image according to the CCSDS (Consultative Committee for Space Data Systems) recommendation. The RICE algorithm uses a set of variable length codes. The architecture comprises of a Pre-processor, Adaptive entropy coder, Postprocessor and an Inverse mapper. The design has been implemented using Xilinx.
Index Terms: Adaptive Entropy Coder, Consultative Committee for Space Data Systems, Inverse Mapper, Lossless Compression, Split Sample Option.
Scope of the Article: Web Algorithms