Image Compression Using Polynomial Fitting

Shaimaa M. Othman; Amr E. Mohamed; Zaki Nossair; M. I. El-Adawy

doi:10.1109/ICECA.2019.8822232

Image Compression Using Polynomial Fitting

Shaimaa M. Othman
, Amr E. Mohamed
, Zaki Nossair
, M. I. El-Adawy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

A new efficient method to compress images using polynomial curve fitting approximation techniques is presented in this paper. The polynomial curve fitting represents many pixels by a smaller number of polynomial coefficients. The presented method is based on two distinct scanning techniques of the image under compression. In the first technique, we scan the image row by row, and in this case, we use first or second order polynomial to represent the chosen number of pixels from the row. In the second case, we scan the image using a block of pixels with variable dimensions and represent each block by a first order two-dimensional polynomial. Experimentally the method gives an acceptable compression ratio with reasonable reconstructed image quality.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	344-349
Number of pages	6
ISBN (Electronic)	9781728101675
DOIs	https://doi.org/10.1109/ICECA.2019.8822232
State	Published - Jun 2019
Externally published	Yes
Event	3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019 - Coimbatore, India Duration: 12 Jun 2019 → 14 Jun 2019

Publication series

Name	Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019

Conference

Conference	3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019
Country/Territory	India
City	Coimbatore
Period	12/06/19 → 14/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

block segmentation
polynomial fitting
row segmentation

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering
Control and Optimization
Computer Networks and Communications
Signal Processing

Access to Document

10.1109/ICECA.2019.8822232

Cite this

Othman, S. M., Mohamed, A. E., Nossair, Z., & El-Adawy, M. I. (2019). Image Compression Using Polynomial Fitting. In Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019 (pp. 344-349). Article 8822232 (Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECA.2019.8822232

Othman, Shaimaa M. ; Mohamed, Amr E. ; Nossair, Zaki et al. / Image Compression Using Polynomial Fitting. Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 344-349 (Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019).

@inproceedings{dc715afcaa7a419cb0d4cceece2d08e5,

title = "Image Compression Using Polynomial Fitting",

abstract = "A new efficient method to compress images using polynomial curve fitting approximation techniques is presented in this paper. The polynomial curve fitting represents many pixels by a smaller number of polynomial coefficients. The presented method is based on two distinct scanning techniques of the image under compression. In the first technique, we scan the image row by row, and in this case, we use first or second order polynomial to represent the chosen number of pixels from the row. In the second case, we scan the image using a block of pixels with variable dimensions and represent each block by a first order two-dimensional polynomial. Experimentally the method gives an acceptable compression ratio with reasonable reconstructed image quality.",

keywords = "block segmentation, polynomial fitting, row segmentation",

author = "Othman, \{Shaimaa M.\} and Mohamed, \{Amr E.\} and Zaki Nossair and El-Adawy, \{M. I.\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019 ; Conference date: 12-06-2019 Through 14-06-2019",

year = "2019",

month = jun,

doi = "10.1109/ICECA.2019.8822232",

language = "English",

series = "Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Othman, SM, Mohamed, AE, Nossair, Z & El-Adawy, MI 2019, Image Compression Using Polynomial Fitting. in Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019., 8822232, Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019, Institute of Electrical and Electronics Engineers Inc., pp. 344-349, 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019, Coimbatore, India, 12/06/19. https://doi.org/10.1109/ICECA.2019.8822232

Image Compression Using Polynomial Fitting. / Othman, Shaimaa M.; Mohamed, Amr E.; Nossair, Zaki et al.
Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 344-349 8822232 (Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Image Compression Using Polynomial Fitting

AU - Othman, Shaimaa M.

AU - Mohamed, Amr E.

AU - Nossair, Zaki

AU - El-Adawy, M. I.

PY - 2019/6

Y1 - 2019/6

N2 - A new efficient method to compress images using polynomial curve fitting approximation techniques is presented in this paper. The polynomial curve fitting represents many pixels by a smaller number of polynomial coefficients. The presented method is based on two distinct scanning techniques of the image under compression. In the first technique, we scan the image row by row, and in this case, we use first or second order polynomial to represent the chosen number of pixels from the row. In the second case, we scan the image using a block of pixels with variable dimensions and represent each block by a first order two-dimensional polynomial. Experimentally the method gives an acceptable compression ratio with reasonable reconstructed image quality.

AB - A new efficient method to compress images using polynomial curve fitting approximation techniques is presented in this paper. The polynomial curve fitting represents many pixels by a smaller number of polynomial coefficients. The presented method is based on two distinct scanning techniques of the image under compression. In the first technique, we scan the image row by row, and in this case, we use first or second order polynomial to represent the chosen number of pixels from the row. In the second case, we scan the image using a block of pixels with variable dimensions and represent each block by a first order two-dimensional polynomial. Experimentally the method gives an acceptable compression ratio with reasonable reconstructed image quality.

KW - block segmentation

KW - polynomial fitting

KW - row segmentation

UR - https://www.scopus.com/pages/publications/85072821333

U2 - 10.1109/ICECA.2019.8822232

DO - 10.1109/ICECA.2019.8822232

M3 - Conference contribution

AN - SCOPUS:85072821333

T3 - Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019

SP - 344

EP - 349

BT - Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019

Y2 - 12 June 2019 through 14 June 2019

ER -

Othman SM, Mohamed AE, Nossair Z, El-Adawy MI. Image Compression Using Polynomial Fitting. In Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 344-349. 8822232. (Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019). doi: 10.1109/ICECA.2019.8822232

Image Compression Using Polynomial Fitting

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this