Faster image compression (LZW algorithm) technique using GPU parallel processing
Cataloged from PDF version of thesis report.
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BRAC University
2018
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| Acesso em linha: | http://hdl.handle.net/10361/9511 |
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10361-95112022-01-26T10:18:17Z Faster image compression (LZW algorithm) technique using GPU parallel processing Soobhee, Ateeq-Ur-Rahman Ruma, Kamrun Nahar Ahsan, Md. Fakhrul Hossain, F. M. Fahmid Alam, Md. Ashraful Islam, Md. Saiful Department of Computer Science and Engineering, BRAC University Cataloged from PDF version of thesis report. Includes bibliographical references (pages 28-29). This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. 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. Ateeq-Ur-Rahman Soobhee Kamrun Nahar Ruma Md. Fakhrul Ahsan F. M. Fahmid Hossain B. Computer Science and Engineering 2018-02-20T03:24:31Z 2018-02-20T03:24:31Z 2017 12/26/2017 Thesis ID 13301025 ID 13101035 ID 14201050 ID 13301018 http://hdl.handle.net/10361/9511 en 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. 29 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Alam, Md. Ashraful |
| author_facet |
Alam, Md. Ashraful Soobhee, Ateeq-Ur-Rahman Ruma, Kamrun Nahar Ahsan, Md. Fakhrul Hossain, F. M. Fahmid |
| format |
Thesis |
| author |
Soobhee, Ateeq-Ur-Rahman Ruma, Kamrun Nahar Ahsan, Md. Fakhrul Hossain, F. M. Fahmid |
| spellingShingle |
Soobhee, Ateeq-Ur-Rahman Ruma, Kamrun Nahar Ahsan, Md. Fakhrul Hossain, F. M. Fahmid Faster image compression (LZW algorithm) technique using GPU parallel processing |
| author_sort |
Soobhee, Ateeq-Ur-Rahman |
| title |
Faster image compression (LZW algorithm) technique using GPU parallel processing |
| title_short |
Faster image compression (LZW algorithm) technique using GPU parallel processing |
| title_full |
Faster image compression (LZW algorithm) technique using GPU parallel processing |
| title_fullStr |
Faster image compression (LZW algorithm) technique using GPU parallel processing |
| title_full_unstemmed |
Faster image compression (LZW algorithm) technique using GPU parallel processing |
| title_sort |
faster image compression (lzw algorithm) technique using gpu parallel processing |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/9511 |
| work_keys_str_mv |
AT soobheeateequrrahman fasterimagecompressionlzwalgorithmtechniqueusinggpuparallelprocessing AT rumakamrunnahar fasterimagecompressionlzwalgorithmtechniqueusinggpuparallelprocessing AT ahsanmdfakhrul fasterimagecompressionlzwalgorithmtechniqueusinggpuparallelprocessing AT hossainfmfahmid fasterimagecompressionlzwalgorithmtechniqueusinggpuparallelprocessing |
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1814308795293106176 |