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Measuring the performance of image data by using RLE algorithm in lossless compression technique

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

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Measuring the performance of image data by using RLE algorithm in lossless compression technique - Abstract.pdf - Accepted Version

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Measuring the performance of image data by using RLE algorithm in lossless compression technique - Chapter 1.pdf - Accepted Version

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Measuring the performance of image data by using RLE algorithm in lossless compression technique - References.pdf - Accepted Version

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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: 14 Sep 2018 03:58
URI: http://umpir.ump.edu.my/id/eprint/21892
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