Recovering a color image from its texture

Seth Nixon, Graham Finlayson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationCIC 2018 - 26th Color and Imaging Conference
Subtitle of host publicationColor Science and Engineering Systems, Technologies, and Applications, Technical Papers and Proceedings
PublisherSociety for Imaging Science and Technology
Pages19-24
Number of pages6
Volume2018-November
ISBN (Electronic)9780892083374
DOIs
Publication statusPublished - 12 Nov 2018
Event26th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2018 - Vancouver, Canada
Duration: 12 Nov 201816 Nov 2018

Conference

Conference26th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2018
CountryCanada
CityVancouver
Period12/11/1816/11/18

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