INFORMATION CHANGE THE WORLD

International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.7, No.3, May. 2015

ADPCM Image Compression Techniques for Remote Sensing Applications

Full Text (PDF, 1035KB), PP.26-31


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Author(s)

Ashok Kumar, Rajiv Kumaran, Sandip Paul, Sanjeev Mehta

Index Terms

DPCM;RMSE;Dynamic Range;Compression

Abstract

ISRO's remote sensing continuity mission Resourcesat-II provided better radiometric performance as compared to Resourcesat-I. However, this improvement required implementation of onboard image compression techniques to maintain same transmission interface. In LISS-4 payload, prediction based DPCM technique with 10:7 compression ratio was implemented. Based on received data from this payload, some ringing artifacts were reported at high contrast targets, which degrade image quality significantly. However occurrences of such instances were very few. For future missions, efforts are made to develop an improved low complex image compression technique with better radiometry and lesser artifacts. Adaptive DPCM (ADPCM) technique provides better radiometric performance. This technique has been implemented onboard by other space agencies with their own proprietary algorithm. To maintain existing 10:7 compression ratio, novel ADPCM techniques with adaptive quantizers are developed. Developed ADPCM techniques are unique w.r.t. predictor and encoding. Developed techniques improve RMSE from 1.3 to 10 times depending on image contrast. Ringing artifacts are reduced to 1% from 38% with previous technique. Developed techniques are of low complexity and can be implemented in low end FPGA.

Cite This Paper

Ashok Kumar, Rajiv Kumaran, Sandip Paul, Sanjeev Mehta,"ADPCM Image Compression Techniques for Remote Sensing Applications", IJIEEB, vol.7, no.3, pp.26-31, 2015. DOI: 10.5815/ijieeb.2015.03.04

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