Deakin University
Browse

File(s) under permanent embargo

Single image spectral reconstruction for multimedia applications

conference contribution
posted on 2015-01-01, 00:00 authored by Antonio Robles-KellyAntonio Robles-Kelly
In this paper, we present a method which can perform spectral reconstruction and illuminant recovery from a single colour image making use of an unlabelled training set of hyperspectral images. Our method employs colour and appearance information to drive the reconstruction process subject to the material properties of the objects in the scene. The idea is to reconstruct the image spectral irradiance making use of a set of prototypes extracted from the training set. These spectra, together with a set of convolutional features are hence obtained using sparse coding so as to reconstruct the image irradiance. With the reconstructed spectra in hand, we proceed to compute the illuminant power spectrum using a quadratic optimisation approach. We provide a quantitative analysis for our method and compare to a number of alternatives. We also show sample results on illuminant substitution and transfer, film simulation and image recolouring using mood board colour schemes.

History

Pagination

251-260

Location

Brisbane, Queensland

Start date

2015-10-26

End date

2015-10-30

ISBN-13

9781450334594

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2015, ACM

Title of proceedings

MM 2015 : Proceedings of the 23rd ACM International Conference on Multimedia

Event

Multimedia. International Conference (23rd : 2015 : Brisbane, Queensland)

Publisher

ACM

Place of publication

New York, N.Y.

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC