Developing a high-performance adjustable-quality data compression scheme for multimedia messaging
Other Title(s)
تطوير نظام ضغط بيانات الرسائل متعددة الوسائط بأداء عالي الجودة و التقنية
Dissertant
Thesis advisor
University
Middle East University
Faculty
Faculty of Information Technology
Department
Computer Science Department
University Country
Jordan
Degree
Master
Degree Date
2013
English Abstract
Data compression algorithms are designed to reduce the size of data so that it requires less disk space for storage and less bandwidth to be transmitted over data communication channels.
An additional benefit of data compression is in wireless communications devices, where it reduces the transmission power consumption of the device as the power consumption is directly proportional to the size of the transmitted data.
Data compression can play a big role in improving the Quality-of-Service (QoS) in Multimedia Messaging Service (MMS) on mobile phones, where MMS is facing three main challenging: limited message size, high power consumption, and long delay.
In this thesis, we develop a new data compression algorithm for stand still image compression, which can be used for MMS and Internet applications on mobile networks.
The new algorithm is a modified version of the lossless bit-level Hamming Codes based Data Compression (HCDC) algorithm, and it is characterized as an image-based adjustable-quality algorithm; therefore, it is referred to as Adjustable-Quality HCDC (AQ-HCDC) algorithm.
The AQ-HCDC algorithm is implemented using VB.NET, and to evaluate the performance of the algorithm, two types of experiments are carried-out for large-size and small-size images compression.
The images used in these experiments are widely-used as a test images by many researchers due to their standard features.
In particular, six images are selected, namely, AirPlane, Baboon, CornField, Flowers, Girl, and Monarch.
The performance of the AQ-HCDC algorithm is evaluated in terms of Compression ratio (C), Mean Square Error (MSE), and Peak Signal to Noise Ratio (PSNR).
In all experiments, the performance of the AQ-HCDC algorithm is compared against the performance of a number of lossless compressed image formats (e.g., GIF and PNG), lossy image format (e.g., JPEG), and lossless compression tools (e.g., ZIP and WinRAR).
For both experiments the AQ-HCDC algorithm provides a compression ratio of 1.6 and a PNSR of more than 30 dB, which ranks the algorithm between the most widely-used formats PNG and JPEG.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
87
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review and previous work.
Chapter Three : The adjustable-quality HCDC algorithm.
Chapter Four : Experimental results and discussions.
Chapter Five : Conclusions and recommendations for future work.
References.
American Psychological Association (APA)
al-Sous, Tamir Walid. (2013). Developing a high-performance adjustable-quality data compression scheme for multimedia messaging. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-698733
Modern Language Association (MLA)
al-Sous, Tamir Walid. Developing a high-performance adjustable-quality data compression scheme for multimedia messaging. (Master's theses Theses and Dissertations Master). Middle East University. (2013).
https://search.emarefa.net/detail/BIM-698733
American Medical Association (AMA)
al-Sous, Tamir Walid. (2013). Developing a high-performance adjustable-quality data compression scheme for multimedia messaging. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-698733
Language
English
Data Type
Arab Theses
Record ID
BIM-698733
