A Comparative Study on Compression of Different Image File Formats
Advances in imaging technology and computer communications have provided users with a variety of new services that use images, including video conferencing, videophones, multimedia system and High Density television. To fully utilize such a high tech communication system, image compression techni...
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1999
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| Online Access: | http://psasir.upm.edu.my/id/eprint/8662/1/FSKTM_1999_11_A.pdf |
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my-upm-ir.86622012-11-12T06:33:56Z A Comparative Study on Compression of Different Image File Formats 1999 Ooi, Poh San Advances in imaging technology and computer communications have provided users with a variety of new services that use images, including video conferencing, videophones, multimedia system and High Density television. To fully utilize such a high tech communication system, image compression techniques play an important role in transmission and storage of information. In this project, an image compression format and algorithm has been analyses. A system has been created for user to convert or display image file format. The ScanJet 11C Scanner was used to scan the image. The image was coded into BMP, TIFF files, and GIF decoded and displayed on the screen. Some of the experiment was done twice with two different types of images to ensure that the results were accurate. The Algorithms used to compress and decompress the image ware Run Length Encoding (RLE) algorithm and Lampel-ziv and Welch (LZW) algorithm. One system was developed for users to convert the image file format to enable them to view the size of each image and to display image. From the study, it can be concluded that LZW algorithm is better than RLE algorithm in term of percentage compression. Beside that, the quality of image that can be produced by LZW algorithm and RLE algorithm is almost the same. Data compression (Computer science) Image files 1999 Thesis http://psasir.upm.edu.my/id/eprint/8662/ http://psasir.upm.edu.my/id/eprint/8662/1/FSKTM_1999_11_A.pdf application/pdf en public masters Universiti Putra Malaysia Data compression (Computer science) Image files Faculty of Computer Science and Information Technology English |
| institution |
Universiti Putra Malaysia |
| collection |
PSAS Institutional Repository |
| language |
English English |
| topic |
Data compression (Computer science) Image files |
| spellingShingle |
Data compression (Computer science) Image files Ooi, Poh San A Comparative Study on Compression of Different Image File Formats |
| description |
Advances in imaging technology and computer communications have provided
users with a variety of new services that use images, including video conferencing,
videophones, multimedia system and High Density television. To fully utilize such a
high tech communication system, image compression techniques play an important role
in transmission and storage of information.
In this project, an image compression format and algorithm has been analyses. A
system has been created for user to convert or display image file format.
The ScanJet 11C Scanner was used to scan the image. The image was coded into
BMP, TIFF files, and GIF decoded and displayed on the screen. Some of the experiment was done twice with two different types of images to ensure that the results
were accurate. The Algorithms used to compress and decompress the image ware Run
Length Encoding (RLE) algorithm and Lampel-ziv and Welch (LZW) algorithm.
One system was developed for users to convert the image file format to enable
them to view the size of each image and to display image.
From the study, it can be concluded that LZW algorithm is better than RLE
algorithm in term of percentage compression. Beside that, the quality of image that can
be produced by LZW algorithm and RLE algorithm is almost the same. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Ooi, Poh San |
| author_facet |
Ooi, Poh San |
| author_sort |
Ooi, Poh San |
| title |
A Comparative Study on Compression of Different Image File Formats |
| title_short |
A Comparative Study on Compression of Different Image File Formats |
| title_full |
A Comparative Study on Compression of Different Image File Formats |
| title_fullStr |
A Comparative Study on Compression of Different Image File Formats |
| title_full_unstemmed |
A Comparative Study on Compression of Different Image File Formats |
| title_sort |
comparative study on compression of different image file formats |
| granting_institution |
Universiti Putra Malaysia |
| granting_department |
Faculty of Computer Science and Information Technology |
| publishDate |
1999 |
| url |
http://psasir.upm.edu.my/id/eprint/8662/1/FSKTM_1999_11_A.pdf |
| _version_ |
1747810851208822784 |