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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Faster image compression (LZW algorithm) technique using GPU parallel processing

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    13301025,13101035,14201050,13301018_CSE.pdf (830.6Kb)
    Date
    2017-12-26
    Publisher
    BRAC University
    Author
    Soobhee, Ateeq-Ur-Rahman
    Ruma, Kamrun Nahar
    Ahsan, Md. Fakhrul
    Hossain, F. M. Fahmid
    Metadata
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    URI
    http://hdl.handle.net/10361/9511
    Abstract
    Since the beginning till present, the technology demands to store as massive data as possible in as little space as possible. As web, mobile, desktop and all other applications use image for different purposes, image compression technique has become one of the most important applications in image analysis as well as in computer science. Though image compression is an old concept, yet it’s considerably time consuming processes has opened a new field of research in image compression. In this paper, LZW (Lempel-Ziv-Welch) algorithm which is a lossless image compression algorithm with the implementation of parallel processing for faster computation has been proposed. As a consequence, the experimental result verifies much faster and satisfactory computation time in millisecond scale than the conventional technique along with keeping the decoded image in lossless format.
    Keywords
    Description
    This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (pages 28-29).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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