| 1/2021 - 10 |
Lossy Compression using Adaptive Polynomial Image EncodingOTHMAN, S.   , MOHAMED, A. , ABOUALI, A. , NOSSAIR, Z. |
Extra paper information in    |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (1,465 KB) | Citation | Downloads: 941 | Views: 2,216 |
Author keywords
adaptive, compression, decoding, encoding, polynomial
References keywords
image(36), comput(11), techniques(9), encoding(8), technol(7), coding(7), fitting(6), algorithm(6), technology(5), survey(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2021-02-28
Volume 21, Issue 1, Year 2021, On page(s): 91 - 98
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.01010
Web of Science Accession Number: 000624018800010
SCOPUS ID: 85102848184
Abstract
In this paper, an efficient lossy compression approach using adaptive-block polynomial curve-fitting encoding is proposed. The main idea of polynomial curve fitting is to reduce the number of data elements in an image block to a few coefficients. The proposed approach consists of two processes: encoding and decoding. In the encoding process, the coefficient matrix is created by representing each block of the image with a first- or second-order two-dimensional polynomial. The encoded block size of the image is variable. The polynomial order and the encoded block size are determined dynamically depending on the value of a threshold. A prefix code of two bits is used to differentiate the encoding states. Uniform quantization is applied to the coefficient matrix to store these coefficients effectively. In the decoding process, the reconstructed (decompressed) image is built from the quantized coefficient matrix. The fitting variables are two-dimensional (x, y). The encoding and decoding processes require a single image scan without the need to transfer the matrix to another domain. Experimentally, a high compression ratio is achieved at an acceptable quality for both gray and color images. The results are comparable to those of most recent studies. |
| References | | | Cited By |
Web of Science® Times Cited: 4 [View]
View record in Web of Science® [View]
View Related Records® [View]
Updated 2 days, 10 hours ago
SCOPUS® Times Cited: 5
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
Updated 2 days, 10 hours ago
[1] A Novel Approach to Speech Enhancement Based on Deep Neural Networks, SALEHI, M., MIRZAKUCHAKI, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 22, 2022.
Digital Object Identifier: 10.4316/AECE.2022.02009 [CrossRef] [Full text]
[2] Images Compression using Combined Scheme of Transform Coding, Ahmed, Zainab Jawad, George, Loay Edwar , Hadi , Raad Ahmed, Journal of Engineering Research and Sciences, ISSN 2831-4085, Issue 9, Volume 1, 2022.
Digital Object Identifier: 10.55708/js0109002 [CrossRef]
[3] Low dynamic range discrete cosine transform (LDR-DCT) for high-performance JPEG image compression, Ince, Ibrahim Furkan, Bulut, Faruk, Kilic, Ilker, Yildirim, Mustafa Eren, Ince, Omer Faruk, The Visual Computer, ISSN 0178-2789, Issue 5, Volume 38, 2022.
Digital Object Identifier: 10.1007/s00371-022-02418-0 [CrossRef]
[4] Quantum Steganography Using Two Hidden Thresholds, TUDORACHE, A.-G., MANTA, V., CARAIMAN, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 21, 2021.
Digital Object Identifier: 10.4316/AECE.2021.04009 [CrossRef] [Full text]
Updated 2 days, 10 hours ago
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
