A comparative study on image compression method using stand-alone DWT techniques and hybrid of DWT with huffman coding technique for WSN application

Hussin, Mumtaz Anwar and Ahmad Poad, Farhana and Joret, Ariffuddin (2002) A comparative study on image compression method using stand-alone DWT techniques and hybrid of DWT with huffman coding technique for WSN application. International Journal of Advanced Trends in Computer Science and Engineering, 9 (4). pp. 117-123. ISSN 2278-3091

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Official URL: https://doi.org/10.30534/ijatcse/2020/1891.42020

Abstract

The advent of wireless technologies nowadays gives high impact toward many users to communicate to each other. Wireless Sensor Net-work is a network of nodes which connect to each other by using a device. In addition, transmitting and receiving messages and files are common in most users. There are many platform of network which contributes the same aim that is communication purposes. A ZigBee network is known as one of a platform with its own Standard (IEEE 802.15.4). Unfortunately, ZigBee has a low data rate which limits the capacity of storage in transmitting data. Thus, a large multimedia such as image data are hard to transmit via ZigBee network. Therefore, image compression are necessary in transmission process due to the ability in reducing dimension size and removing redundant image data. In this paper, three method are observed which are stand-alone DWT, stand-alone Huffman, and Hybrid of DWT and Huffman Coding. After conducting a comprehensive observation, it is found that DWT technique are able to compress the image data with less time taken while Huffman technique are suitable in maintaining the quality of image but need a long time to process. Hence, hybrid of DWT with Huffman method are proposed to support each other in terms of compression, computing time and quality of image.

Item Type:	Article
Uncontrolled Keywords:	DWT; Huffman; Image Compression; ZigBee.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA213-215 Engineering machinery, tools, and implements
Divisions:	Faculty of Electrical and Electronic Engineering > Department of Electronic Enngineering
Depositing User:	Miss Nur Rasyidah Rosli
Date Deposited:	30 Jan 2022 03:24
Last Modified:	30 Jan 2022 03:24
URI:	http://eprints.uthm.edu.my/id/eprint/6335

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