Lossless Compression of Satellite Images using a Versatile Hybrid Algorithm

Author:

Swetha V,Premjyoti Patil G,Shantakumar Patil B

Abstract

Abstract The remote sensing images taken from various satellites have high resolution and occupy a lot of storage space. It, therefore, becomes difficult to send a greater number of images to the base station. Image compression becomes inevitable in such cases. Satellite image compression decreases repetition in representation of data so that the storage cost and transmission reduces and compensates for the limited on-board resources, in terms of large-scale memory and downlink bandwidth. The aim of this paper is to perform lossless image compression on satellite imagery using a hybrid (DWT-RLE) algorithm to obtain higher compression ratios. This compression is implemented using the software tool MATLAB.

Publisher

IOP Publishing

Subject

General Medicine

Reference35 articles.

1. Electromechanical characterization of Nitinol based RF MEMS switch;Bale;Materials Today: Proceedings,2020

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