A comparative study on improvement of image compression method using hybrid of DCT and DWT techniques with huffman encoding

Image is an important media used to visualize or represent a message in daily conversation between users device. Nowadays, there are many application that involve image processing such as security system, communication system and medical system where images are processed digitally. Image is ma...

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Main Author:	Anwar Hussin, Mumtaz
Format:	Thesis
Language:	English English English
Published:	2021
Subjects:	T Technology (General)
Online Access:	http://eprints.uthm.edu.my/6455/1/24p%20MUMTAZ%20YAHYA%20NASSER%20NASSAR.pdf http://eprints.uthm.edu.my/6455/2/MUMTAZ%20YAHYA%20NASSER%20NASSAR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6455/3/MUMTAZ%20YAHYA%20NASSER%20NASSAR%20WATERMARK.pdf
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id	my-uthm-ep.6455
record_format	uketd_dc
spelling	my-uthm-ep.64552022-02-06T20:56:55Z A comparative study on improvement of image compression method using hybrid of DCT and DWT techniques with huffman encoding 2021-07 Anwar Hussin, Mumtaz T Technology (General) TA1501-1820 Applied optics. Photonics Image is an important media used to visualize or represent a message in daily conversation between users device. Nowadays, there are many application that involve image processing such as security system, communication system and medical system where images are processed digitally. Image is mainly known for its large data capacity especially high resolution image. Thus, image compression is important to reduce storage size and achieve specific application goals. In this research, hybrid of Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Huffman compression technique is proposed. Stand-alone technique of DCT, DWT and Huffman are execute before hybrid all techniques together. Besides, the performance in determining the quality of image, compression ratio and computing time are carefully observed by evaluating the result of Mean Square Error (MSE), Power Signal to Noise Ratio (PSNR), Structural Similarity (SSIM), compression ratio and time of compression and decompression. It is found that the proposed hybrid technique able to reduce storage size with 3.72:1 compression ratio and short computing time with 5 second. The quality of image is slightly reduce compared to original image which are calculated based on MSE, PSNR and SSIM value with 52.74, 30.92 dB and 0.90, respectively. In conclusion, DWT technique has the ability in compressing image size within short time while DCT and Huffman are able to reduce data loss during compression and maintaining good quality of image. Therefore, DCT, DWT and Huffman method are combined together to support each other in producing good performance. 2021-07 Thesis http://eprints.uthm.edu.my/6455/ http://eprints.uthm.edu.my/6455/1/24p%20MUMTAZ%20YAHYA%20NASSER%20NASSAR.pdf text en public http://eprints.uthm.edu.my/6455/2/MUMTAZ%20YAHYA%20NASSER%20NASSAR%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/6455/3/MUMTAZ%20YAHYA%20NASSER%20NASSAR%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Anwar Hussin, Mumtaz A comparative study on improvement of image compression method using hybrid of DCT and DWT techniques with huffman encoding
description	Image is an important media used to visualize or represent a message in daily conversation between users device. Nowadays, there are many application that involve image processing such as security system, communication system and medical system where images are processed digitally. Image is mainly known for its large data capacity especially high resolution image. Thus, image compression is important to reduce storage size and achieve specific application goals. In this research, hybrid of Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Huffman compression technique is proposed. Stand-alone technique of DCT, DWT and Huffman are execute before hybrid all techniques together. Besides, the performance in determining the quality of image, compression ratio and computing time are carefully observed by evaluating the result of Mean Square Error (MSE), Power Signal to Noise Ratio (PSNR), Structural Similarity (SSIM), compression ratio and time of compression and decompression. It is found that the proposed hybrid technique able to reduce storage size with 3.72:1 compression ratio and short computing time with 5 second. The quality of image is slightly reduce compared to original image which are calculated based on MSE, PSNR and SSIM value with 52.74, 30.92 dB and 0.90, respectively. In conclusion, DWT technique has the ability in compressing image size within short time while DCT and Huffman are able to reduce data loss during compression and maintaining good quality of image. Therefore, DCT, DWT and Huffman method are combined together to support each other in producing good performance.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Anwar Hussin, Mumtaz
author_facet	Anwar Hussin, Mumtaz
author_sort	Anwar Hussin, Mumtaz
title	A comparative study on improvement of image compression method using hybrid of DCT and DWT techniques with huffman encoding
title_short	A comparative study on improvement of image compression method using hybrid of DCT and DWT techniques with huffman encoding
title_full	A comparative study on improvement of image compression method using hybrid of DCT and DWT techniques with huffman encoding
title_fullStr	A comparative study on improvement of image compression method using hybrid of DCT and DWT techniques with huffman encoding
title_full_unstemmed	A comparative study on improvement of image compression method using hybrid of DCT and DWT techniques with huffman encoding
title_sort	comparative study on improvement of image compression method using hybrid of dct and dwt techniques with huffman encoding
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2021
url	http://eprints.uthm.edu.my/6455/1/24p%20MUMTAZ%20YAHYA%20NASSER%20NASSAR.pdf http://eprints.uthm.edu.my/6455/2/MUMTAZ%20YAHYA%20NASSER%20NASSAR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6455/3/MUMTAZ%20YAHYA%20NASSER%20NASSAR%20WATERMARK.pdf
_version_	1747831066926776320

A comparative study on improvement of image compression method using hybrid of DCT and DWT techniques with huffman encoding

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