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Deep models for image coloring

Primož Godec (2017) Deep models for image coloring. MSc thesis.

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    Since the color photography came into everyday use in the last fifty years our grandparents are still owning many black and white photographs which we would like to colorize. Researchers are therefore encouraged to develop algorithmic approaches for black and white photographs and video colorization. We have developed a set of automatic approaches based on the machine learning and neural networks, which are using regression and classification. We compared them with approaches from related work. Our approaches reach the quality of colorization comparable to those from related works. Our new approach on image parts improves colorization of images which size is different from those from the training set. This approach is also faster in training than existing approaches that uses full images for learing.

    Item Type: Thesis (MSc thesis)
    Keywords: umetna inteligenca, strojno učenje, globoke nevronske mreže, barvanje črno-belih slik
    Number of Pages: 81
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Blaž Zupan106Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537497539)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3888
    Date Deposited: 01 Sep 2017 08:41
    Last Modified: 06 Sep 2017 13:50
    URI: http://eprints.fri.uni-lj.si/id/eprint/3888

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