FPGA Implementation of Multispectral Image Compression for Satellite Images
S Saranya1, M Thamarai2, M Subbarao3

1S. Saranya, M. Tech Student, Sri Vasari Engineering College, Andhra Pradesh, India.
2Dr. M. Thamarai, Professor, Engineering and Communication Engineering, Sri Vasari Engineering College, Andhra Pradesh, India.
3M. Subbarao, Sr. Assistant Professor, Engineering and Communication Engineering, Sri Vasari Engineering College. Andhra Pradesh, India.

Manuscript received on 26 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 561-567 | Volume-8 Issue-9, July 2019 | Retrieval Number: G6282058719/19©BEIESP | DOI: 10.35940/ijitee.G6282.078919

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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: Multispectral image compression plays a vital role in remote sensing through satellites. Satellite images are more powerful approach to study the space information and research the geographical nature of the earth. Satellite images contains the huge amount of data and it requires more bandwidth for transmission and more memory for storage. Multispectral image compression reduces the size of the multispectral data and makes it easy for storage and transmission to the earth station form the satellite. The image is compressed by reducing the irrelevant and redundant part of data. This paper presents FPGA implementation of multispectral image compression using Dual Tree Complex Wavelet Transform (DTCWT) and Arithmetic Coding. This compression algorithm is implemented and simulated using MATLAB and XILINX ISE14.5 simulator. The FPGA Spartan -6 architecture is used to implement the algorithm. The proposed method gives better result in PSNR and MSE ratio as compared to DWT.
Keyword: Multispectral Image, DTCWT, VLSI, Arithmetic Coding, Compression Ratio.

Scope of the Article: Image Security