A comparison of coloured image compression methods / Norshita Haji Mat Nayan

The idea of image compression is not new. There has always been an interest in economical and efficient communication. Image compression is a method of eliminating redundancies should be built in normal language representation. Image compression is minimizing the size in bytes of a graphics file wit...

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Main Author:	Mat Nayan, Norshita
Format:	Thesis
Language:	English
Published:	2005
Subjects:	Electronic digital computers
Online Access:	https://ir.uitm.edu.my/id/eprint/27209/1/TM_NORSHITA%20HAJI%20MAT%20NAYAN%20CS%2005_5.pdf
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spelling	my-uitm-ir.272092021-12-02T03:59:29Z A comparison of coloured image compression methods / Norshita Haji Mat Nayan 2005 Mat Nayan, Norshita Electronic digital computers The idea of image compression is not new. There has always been an interest in economical and efficient communication. Image compression is a method of eliminating redundancies should be built in normal language representation. Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space. It also reduces the time required for images to be sent over the Internet or downloaded from Web pages. A few techniques or methods can be used to compress an image. Segmentation Based Coding, Directional Filtering Based Coding, Recognition Based Coding, Fractal, Wavelet and JPEG are famous techniques in image compression. This research explores three comparative methods, which are widely used. They are Wavelet Method, Fractal Method and JPEG Method. The main objective of this research is to find the best method for colour image compression between Wavelet, Fractal and JPEG using three parameters which are compressed file size, compression ratio and peak signal noise ratio. Image compression system has been developed using C++ Builder and 200 data from the Internet was using with different file sizes (range between 359 Kb to 725 Kb) were used for system testing purposes. Are four phases involved in this research are data collection, designing, development and testing and evaluation phase. On finding shows that Wavelet method is the best method for colour image compression compared to Fractal and JPEG. 2005 Thesis https://ir.uitm.edu.my/id/eprint/27209/ https://ir.uitm.edu.my/id/eprint/27209/1/TM_NORSHITA%20HAJI%20MAT%20NAYAN%20CS%2005_5.pdf text en public masters Universiti Teknologi MARA Faculty Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Electronic digital computers
spellingShingle	Electronic digital computers Mat Nayan, Norshita A comparison of coloured image compression methods / Norshita Haji Mat Nayan
description	The idea of image compression is not new. There has always been an interest in economical and efficient communication. Image compression is a method of eliminating redundancies should be built in normal language representation. Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space. It also reduces the time required for images to be sent over the Internet or downloaded from Web pages. A few techniques or methods can be used to compress an image. Segmentation Based Coding, Directional Filtering Based Coding, Recognition Based Coding, Fractal, Wavelet and JPEG are famous techniques in image compression. This research explores three comparative methods, which are widely used. They are Wavelet Method, Fractal Method and JPEG Method. The main objective of this research is to find the best method for colour image compression between Wavelet, Fractal and JPEG using three parameters which are compressed file size, compression ratio and peak signal noise ratio. Image compression system has been developed using C++ Builder and 200 data from the Internet was using with different file sizes (range between 359 Kb to 725 Kb) were used for system testing purposes. Are four phases involved in this research are data collection, designing, development and testing and evaluation phase. On finding shows that Wavelet method is the best method for colour image compression compared to Fractal and JPEG.
format	Thesis
qualification_level	Master's degree
author	Mat Nayan, Norshita
author_facet	Mat Nayan, Norshita
author_sort	Mat Nayan, Norshita
title	A comparison of coloured image compression methods / Norshita Haji Mat Nayan
title_short	A comparison of coloured image compression methods / Norshita Haji Mat Nayan
title_full	A comparison of coloured image compression methods / Norshita Haji Mat Nayan
title_fullStr	A comparison of coloured image compression methods / Norshita Haji Mat Nayan
title_full_unstemmed	A comparison of coloured image compression methods / Norshita Haji Mat Nayan
title_sort	comparison of coloured image compression methods / norshita haji mat nayan
granting_institution	Universiti Teknologi MARA
granting_department	Faculty Computer and Mathematical Sciences
publishDate	2005
url	https://ir.uitm.edu.my/id/eprint/27209/1/TM_NORSHITA%20HAJI%20MAT%20NAYAN%20CS%2005_5.pdf
_version_	1783733937663639552

A comparison of coloured image compression methods / Norshita Haji Mat Nayan

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