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All Journal International Journal of Electrical and Computer Engineering
Haranahalli Shreenivasamurthy Prasantha
Nitte Meenakshi Institute of Technology
Computer Science & IT Electrical & Electronics Engineering

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Two-dimensional satellite image compression using compressive sensing Gunasheela Keragodu Shivanna; Haranahalli Shreenivasamurthy Prasantha
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i1.pp311-319

Abstract

Compressive sensing is receiving a lot of attention from the image processing research community as a promising technique for image recovery from very few samples. The modality of compressive sensing technique is very useful in the applications where it is not feasible to acquire many samples. It is also prominently useful in satellite imaging applications since it drastically reduces the number of input samples thereby reducing the storage and communication bandwidth required to store and transmit the data into the ground station. In this paper, an interior point-based method is used to recover the entire satellite image from compressive sensing samples. The compression results obtained are compared with the compression results from conventional satellite image compression algorithms. The results demonstrate the increase in reconstruction accuracy as well as higher compression rate in case of compressive sensing-based compression technique.
Co-Authors Gunasheela Keragodu Shivanna