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Spatial image processing for the enhancement and restoration of film, photography and print

Parraman, Carinna; Rizzi, A.

Spatial image processing for the enhancement and restoration of film, photography and print Thumbnail


Authors

A. Rizzi



Abstract

This paper presents a review of research undertaken into algorithms for colour enhancement methods based on the behaviour of the human vision system and the applied research in film, photography and print. These colour enhancements methods perform automatic adjustments that are based on the content of the image without the need of any
statistic or a-priori knowledge about it. We have found that it can have a range of benefits and implications for enhancement of new images and restoration of deteriorated images. This paper presents an overview of series of
research projects that have been undertaken since 2005 and which are still being explored as new algorithms are being introduced and refined. The paper will discuss the strengths
and limits of this approach.
Paper given at the INFOS International Conference series, the 7th International Conference on Informatics and Systems, Cairo University.

Presentation Conference Type Conference Paper (unpublished)
Conference Name 7th International Conference on Informatics and Systems
Start Date Mar 28, 2010
End Date Mar 30, 2010
Publication Date May 6, 2010
Publicly Available Date Jun 8, 2019
Peer Reviewed Peer Reviewed
Keywords algorithms for colour enhancement methods, human vision system
Public URL https://uwe-repository.worktribe.com/output/979034
Publisher URL http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5461748&queryText%3DSpatial+image+processing+for+the+enhancement+and+restoration+of+film%2C+photography+and+print%26openedRefinements%3D*%26searchField%3DSearch+All
Additional Information Additional Information : Copyright © 2010 IEEE. Reprinted from 7th International Conference on Informatics and Systems, 28-30 March 2010, Faculty of Computers and Information, Cairo University. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of the West of England’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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