An accurate gradient-based predictive algorithm for image compression
An accurate gradient-based predictive algorithm for image compression
Many prediction algorithms have been proposed and implemented so far for efficient storage and transmission. In this paper, we propose an algorithm for predictive coding. This new algorithm evaluates and uses the values of the known pixels in much more different directions than previous algorithms such as Median Edge Detection (MED) and Gradient Adjusted Prediction (GAP). The proposed algorithm, MED, and GAP algorithms are implemented and tested on different image contents and sizes. The experimental results show that the prediction error of the proposed algorithm is much less than other algorithms. In other words, the quality of obtained predicted images via the proposed method is better than MED and GAP algorithms. Additionally, the accuracy of the proposed technique is independent from the image contents and image sizes. Copyright © 2010 ACM.
Digital image processing, Gradient-based predictor, Image compression, Predictive coding
374-377
Attar, Abdolrahman
f5efd538-042a-4647-9d46-1370d3049b72
Rad, Reza Moradi
7cf68458-1991-4d35-96dc-b6433caeb6f9
Shahbahrami, Asadollah
a254cee0-48b1-4a87-b6ab-49bf8aee412d
8 November 2010
Attar, Abdolrahman
f5efd538-042a-4647-9d46-1370d3049b72
Rad, Reza Moradi
7cf68458-1991-4d35-96dc-b6433caeb6f9
Shahbahrami, Asadollah
a254cee0-48b1-4a87-b6ab-49bf8aee412d
Attar, Abdolrahman, Rad, Reza Moradi and Shahbahrami, Asadollah
(2010)
An accurate gradient-based predictive algorithm for image compression.
In,
MoMM2010 - 8th International Conference on Advances in Mobile Computing and Multimedia.
(MoMM2010 - 8th International Conference on Advances in Mobile Computing and Multimedia)
.
(doi:10.1145/1971519.1971582).
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Book Section
Abstract
Many prediction algorithms have been proposed and implemented so far for efficient storage and transmission. In this paper, we propose an algorithm for predictive coding. This new algorithm evaluates and uses the values of the known pixels in much more different directions than previous algorithms such as Median Edge Detection (MED) and Gradient Adjusted Prediction (GAP). The proposed algorithm, MED, and GAP algorithms are implemented and tested on different image contents and sizes. The experimental results show that the prediction error of the proposed algorithm is much less than other algorithms. In other words, the quality of obtained predicted images via the proposed method is better than MED and GAP algorithms. Additionally, the accuracy of the proposed technique is independent from the image contents and image sizes. Copyright © 2010 ACM.
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Published date: 8 November 2010
Keywords:
Digital image processing, Gradient-based predictor, Image compression, Predictive coding
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Local EPrints ID: 502145
URI: http://eprints.soton.ac.uk/id/eprint/502145
PURE UUID: 2db3bc95-7a7d-407e-8946-2d87659aade2
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Date deposited: 17 Jun 2025 16:46
Last modified: 17 Jun 2025 17:00
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Contributors
Author:
Abdolrahman Attar
Author:
Reza Moradi Rad
Author:
Asadollah Shahbahrami
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