Recovering a color image from its texture

Tools

Nixon, Seth and Finlayson, Graham (2018) Recovering a color image from its texture. In: CIC 2018 - 26th Color and Imaging Conference. Society for Imaging Science and Technology, CAN, pp. 19-24. ISBN 9780892083374

Full text not available from this repository. (Request a copy)

Abstract

Texture features can be considered as methods for encoding an image: taking pixel intensities or filter responses and forming them into a description which can be used to solve problems including recognition and matching. In this paper we are considering the inverse problem: given a textural representation of an image, how well can we recover the original. We show how the LBP method encodes comparative relationships between pixels and relative to these relations we can recover an image with our new method. We extend the recovery method to work with the Sudoku texture representation (an extension of LBP). We show that this method produces a reconstruction more correlated with the original image than the prior art.

Item Type:	Book Section
Uncontrolled Keywords:	computer vision and pattern recognition,electronic, optical and magnetic materials,atomic and molecular physics, and optics ,/dk/atira/pure/subjectarea/asjc/1700/1707
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Colour and Imaging Lab
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	14 May 2019 14:30
Last Modified:	20 Apr 2023 06:37
URI:	https://ueaeprints.uea.ac.uk/id/eprint/70991
DOI:	10.2352/ISSN.2169-2629.2018.26.19

Actions (login required)

View Item