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User Interaction for Image Recolouring using £2

Published: 11 December 2017 Publication History

Abstract

Recently, an example based colour transfer approach proposed modelling the colour distributions of a palette and target image using Gaussian Mixture Models, and registers them by minimising the robust £2 distance between the mixtures. In this paper we propose to extend this approach to allow for user interaction. We present two interactive recolouring applications, the first allowing the user to select colour correspondences between a target and palette image, while the second palette based application allows the user to edit a palette of colours to determine the image recolouring. We modify the £2 based cost function to improve results when an interactive interface is used, and take measures to ensure that even when minimal input is given by the user, good colour transfer results are created. Both applications are available through a web interface and qualitatively assessed against recent recolouring techniques.

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Cited By

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  • (2022) L 2 Divergence for robust colour transferComputer Vision and Image Understanding10.1016/j.cviu.2019.02.002181:C(39-49)Online publication date: 19-Apr-2022
  • (2020)Iterative Nadaraya-Watson Distribution Transfer for Colour Grading2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)10.1109/MMSP48831.2020.9287097(1-6)Online publication date: 21-Sep-2020
  • (2020)Color Stabilization for Multi-Camera Light-Field ImagingICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP40776.2020.9053088(2148-2152)Online publication date: May-2020
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    CVMP '17: Proceedings of the 14th European Conference on Visual Media Production (CVMP 2017)
    December 2017
    93 pages
    ISBN:9781450353298
    DOI:10.1145/3150165
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    In-Cooperation

    • The Foundry: The Foundry Visionmongers Ltd.
    • University of Bath: University of Bath

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 December 2017

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    Author Tags

    1. £2 Registration
    2. Colour transfer
    3. palette based image recoloring

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    • Research-article
    • Research
    • Refereed limited

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    CVMP 2017
    CVMP 2017: 14th European Conference on Visual Media Production
    December 11 - 13, 2017
    London, United Kingdom

    Acceptance Rates

    CVMP '17 Paper Acceptance Rate 10 of 16 submissions, 63%;
    Overall Acceptance Rate 40 of 67 submissions, 60%

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    Cited By

    View all
    • (2022) L 2 Divergence for robust colour transferComputer Vision and Image Understanding10.1016/j.cviu.2019.02.002181:C(39-49)Online publication date: 19-Apr-2022
    • (2020)Iterative Nadaraya-Watson Distribution Transfer for Colour Grading2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)10.1109/MMSP48831.2020.9287097(1-6)Online publication date: 21-Sep-2020
    • (2020)Color Stabilization for Multi-Camera Light-Field ImagingICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP40776.2020.9053088(2148-2152)Online publication date: May-2020
    • (2020)An Adaptive Colour Calibration for Crowdsourced Images in Heritage Preservation ScienceIEEE Access10.1109/ACCESS.2020.30173908(185093-185111)Online publication date: 2020
    • (2020)Color Transfer With Salient Features Mapping via Attention Maps Between ImagesIEEE Access10.1109/ACCESS.2020.30000658(104884-104892)Online publication date: 2020
    • (2020)Advances in colour transferIET Computer Vision10.1049/iet-cvi.2019.092014:6(304-322)Online publication date: 25-Sep-2020
    • (2019)Directive local color transfer based on dynamic look-up tableImage Communication10.1016/j.image.2019.06.01079:C(1-12)Online publication date: 1-Nov-2019
    • (2019)Robust global and local color matching in stereoscopic omnidirectional contentImage Communication10.1016/j.image.2019.02.01374:C(231-241)Online publication date: 1-May-2019

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