loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Amir Kolaman 1 ; Amir Egozi 2 ; Hugo Guterman 2 and B. L. Coleman 3

Affiliations: 1 Ben-Gurion University of the Negev, Israel ; 2 Ben-Gurion University, Israel ; 3 P.O.B 986, Israel

ISBN: 978-989-8425-46-1

Keyword(s): Quaternion image processing, Image enhancement, Relativity.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: In this paper we present a novel mathematical model for color image processing. The proposed algebraic structure is based on a special mapping of color vectors into the space of bi-quaternions (quaternions with complex coefficients) inspired by the theory of relativity. By this transformation, the space of color vectors remains closed under scalar multiplication and addition and limited by upper and lower bounds. The proposed approach is therefore termed Caged Image Processing (KIP). We demonstrate the usability of the new model by a color image enhancement algorithm. The proposed enhancement algorithm prevents information loss caused by over saturation of color, caused when using Logarithmic Image Processing (LIP) approach. Experimental results on synthetic and natural images comparing the proposed algorithm to the LIP based algorithm are provided.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.239.158.107

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kolaman, A.; Egozi, A.; Guterman, H. and L. Coleman, B. (2011). RELATIVITY AND CONTRAST ENHANCEMENT.In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2011) ISBN 978-989-8425-46-1, pages 94-99. DOI: 10.5220/0003379200940099

@conference{imagapp11,
author={Amir Kolaman. and Amir Egozi. and Hugo Guterman. and B. L. Coleman.},
title={RELATIVITY AND CONTRAST ENHANCEMENT},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2011)},
year={2011},
pages={94-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003379200940099},
isbn={978-989-8425-46-1},
}

TY - CONF

JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2011)
TI - RELATIVITY AND CONTRAST ENHANCEMENT
SN - 978-989-8425-46-1
AU - Kolaman, A.
AU - Egozi, A.
AU - Guterman, H.
AU - L. Coleman, B.
PY - 2011
SP - 94
EP - 99
DO - 10.5220/0003379200940099

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.