Nurmarsyita, Mohd Shah (2015) Measuring the performance of image data by using RLE algorithm in lossless compression technique. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang.
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Measuring the performance of image data by using RLE algorithm in lossless compression technique - Table of contents.pdf - Accepted Version Download (238kB) | Preview |
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Measuring the performance of image data by using RLE algorithm in lossless compression technique - Abstract.pdf - Accepted Version Download (124kB) | Preview |
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Measuring the performance of image data by using RLE algorithm in lossless compression technique - Chapter 1.pdf - Accepted Version Download (139kB) | Preview |
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Measuring the performance of image data by using RLE algorithm in lossless compression technique - References.pdf - Accepted Version Download (824kB) | Preview |
Abstract
Lossless compression technique for measuring the performance of image data is a technique that build for reduce the size of image but still will produce the high quality of image data. There are a lot of lossless compression technique that can measure the performance of image data which are Huffman, Arithmetic, Lempel-Ziv Welch (LZW) and Run-Length Encoding (RLE) . In the research, there are one technique that will selected for this problem which is Run-Length Encoding algorithm. From this technique, it will be develop the high quality of data by reducing the size of image but give a high quality of image. This result will produce by using lossless compression technique which is consist of four stage such as analysis, pre-processing, design, probability algorithm and testing.
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Project paper (Bachelor of Computer Science (Computer Systems & Networking) With Honours) -- Universiti Malaysia Pahang – 2015, SV: ZARINA DZOLKHIPLI, NO. CD: 9138, 9139 |
| Uncontrolled Keywords: | Image data; Run Length Encoding (RLE) |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs. Sufarini Mohd Sudin |
| Date Deposited: | 14 Sep 2018 03:58 |
| Last Modified: | 12 Aug 2021 03:31 |
| URI: | http://umpir.ump.edu.my/id/eprint/21892 |
| Download Statistic: | View Download Statistics |
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