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A hybrid predictive technique for lossless image compression

Compression of images is of great interest in applications where efficiency with respect to data storage or transmission bandwidth is sought.The rapid growth of social media and digital networks have given rise to huge amount of image data being accessed and exchanged daily. However, the larger the...

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Main Authors: Azman, N. A. N., Ali, S., Rashid, R. A., Saparudin, F. A., Sarijari, M. A.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/91806/1/SamuraAli2019_A%20HybridPredictiveTechnique.pdf
http://eprints.utm.my/id/eprint/91806/
http://www.dx.doi.org/10.11591/eei.v8i4.1612
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spelling my.utm.918062021-07-28T08:47:41Z http://eprints.utm.my/id/eprint/91806/ A hybrid predictive technique for lossless image compression Azman, N. A. N. Ali, S. Rashid, R. A. Saparudin, F. A. Sarijari, M. A. TK Electrical engineering. Electronics Nuclear engineering Compression of images is of great interest in applications where efficiency with respect to data storage or transmission bandwidth is sought.The rapid growth of social media and digital networks have given rise to huge amount of image data being accessed and exchanged daily. However, the larger the image size, the longer it takes to transmit and archive. In other words, high quality images require huge amount of transmission bandwidth and storage space. Suitable image compression can help in reducing the image size and improving transmission speed. Lossless image compression is especially crucial in fields such as remote sensing healthcare network, security and military applications as the quality of images needs to be maintained to avoid any errors during analysis or diagnosis. In this paper, a hybrid prediction lossless image compression algorithm is proposed to address these issues. The algorithm is achieved by combining predictive Differential Pulse Code Modulation (DPCM) and Integer Wavelet Transform (IWT). Entropy and compression ratio calculation are used to analyze the performance of the designed coding. The analysis shows that the best hybrid predictive algorithm is the sequence of DPCM-IWT-Huffman which has bits sizes reduced by 36%, 48%, 34% and 13% for tested images of Lena, Cameraman, Pepper and Baboon, respectively. © 2019 Institute of Advanced Engineering and Science. Institute of Advanced Engineering and Science 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/91806/1/SamuraAli2019_A%20HybridPredictiveTechnique.pdf Azman, N. A. N. and Ali, S. and Rashid, R. A. and Saparudin, F. A. and Sarijari, M. A. (2019) A hybrid predictive technique for lossless image compression. Bulletin of Electrical Engineering and Informatics, 8 (4). pp. 1289-1296. ISSN 2089-3191 http://www.dx.doi.org/10.11591/eei.v8i4.1612 DOI: 10.11591/eei.v8i4.1612
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Azman, N. A. N.
Ali, S.
Rashid, R. A.
Saparudin, F. A.
Sarijari, M. A.
A hybrid predictive technique for lossless image compression
description Compression of images is of great interest in applications where efficiency with respect to data storage or transmission bandwidth is sought.The rapid growth of social media and digital networks have given rise to huge amount of image data being accessed and exchanged daily. However, the larger the image size, the longer it takes to transmit and archive. In other words, high quality images require huge amount of transmission bandwidth and storage space. Suitable image compression can help in reducing the image size and improving transmission speed. Lossless image compression is especially crucial in fields such as remote sensing healthcare network, security and military applications as the quality of images needs to be maintained to avoid any errors during analysis or diagnosis. In this paper, a hybrid prediction lossless image compression algorithm is proposed to address these issues. The algorithm is achieved by combining predictive Differential Pulse Code Modulation (DPCM) and Integer Wavelet Transform (IWT). Entropy and compression ratio calculation are used to analyze the performance of the designed coding. The analysis shows that the best hybrid predictive algorithm is the sequence of DPCM-IWT-Huffman which has bits sizes reduced by 36%, 48%, 34% and 13% for tested images of Lena, Cameraman, Pepper and Baboon, respectively. © 2019 Institute of Advanced Engineering and Science.
format Article
author Azman, N. A. N.
Ali, S.
Rashid, R. A.
Saparudin, F. A.
Sarijari, M. A.
author_facet Azman, N. A. N.
Ali, S.
Rashid, R. A.
Saparudin, F. A.
Sarijari, M. A.
author_sort Azman, N. A. N.
title A hybrid predictive technique for lossless image compression
title_short A hybrid predictive technique for lossless image compression
title_full A hybrid predictive technique for lossless image compression
title_fullStr A hybrid predictive technique for lossless image compression
title_full_unstemmed A hybrid predictive technique for lossless image compression
title_sort hybrid predictive technique for lossless image compression
publisher Institute of Advanced Engineering and Science
publishDate 2019
url http://eprints.utm.my/id/eprint/91806/1/SamuraAli2019_A%20HybridPredictiveTechnique.pdf
http://eprints.utm.my/id/eprint/91806/
http://www.dx.doi.org/10.11591/eei.v8i4.1612
_version_ 1706956996692934656
score 13.211869

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