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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 6, JUNE 2016

Analysis of Compression Ratio and Processing Power of Image Data Compression

Rohini Wadkar, Prof. Shivanand Patil

DOI: 10.17148/IJARCCE.2016.5607

Abstract: Wireless sensor network is the main source to make the use of IoT in order to make the environment smart. Many wireless sensor networks use image data transmission. Image data is very common now a day, and it is transmitted from one node to another. Hence bandwidth can be the important parameter to be considered while sending multimedia information such as images. To utilize bandwidth in the better way image compression plays a vital role. Hence this project aims to compress the image in the sensor node and send it to master node and analyse its size and processing time taken to compress the image. Two techniques called Lossy and Lossless are applied to compress the image and corresponding analysis are made.



Keywords: Image compression, Image capturing, Raspberry pi, Lossy, Lossless.

How to Cite:

[1] Rohini Wadkar, Prof. Shivanand Patil, “Analysis of Compression Ratio and Processing Power of Image Data Compression,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5607