dc.contributor.advisor | Alam, Md. Ashraful | |
dc.contributor.advisor | Islam, Md. Saiful | |
dc.contributor.author | Soobhee, Ateeq-Ur-Rahman | |
dc.contributor.author | Ruma, Kamrun Nahar | |
dc.contributor.author | Ahsan, Md. Fakhrul | |
dc.contributor.author | Hossain, F. M. Fahmid | |
dc.date.accessioned | 2018-02-20T03:24:31Z | |
dc.date.available | 2018-02-20T03:24:31Z | |
dc.date.copyright | 2017 | |
dc.date.issued | 12/26/2017 | |
dc.identifier.other | ID 13301025 | |
dc.identifier.other | ID 13101035 | |
dc.identifier.other | ID 14201050 | |
dc.identifier.other | ID 13301018 | |
dc.identifier.uri | http://hdl.handle.net/10361/9511 | |
dc.description | Cataloged from PDF version of thesis report. | |
dc.description | Includes bibliographical references (pages 28-29). | |
dc.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. | en_US |
dc.description.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. | en_US |
dc.description.statementofresponsibility | Ateeq-Ur-Rahman Soobhee | |
dc.description.statementofresponsibility | Kamrun Nahar Ruma | |
dc.description.statementofresponsibility | Md. Fakhrul Ahsan | |
dc.description.statementofresponsibility | F. M. Fahmid Hossain | |
dc.format.extent | 29 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC University | en_US |
dc.rights | BRAC University thesis reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.title | Faster image compression (LZW algorithm) technique using GPU parallel processing | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
dc.description.degree | B. Computer Science and Engineering | |