prikaz prve stranice dokumenta Real-time retinex-based and learning-based methods for computational color constancy with high accuracy
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doctoral thesis
Real-time retinex-based and learning-based methods for computational color constancy with high accuracy
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:307486

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronic Systems and Information Processing

Cite this document

Banić, N. (2016). Real-time retinex-based and learning-based methods for computational color constancy with high accuracy (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:307486

Banić, Nikola. "Real-time retinex-based and learning-based methods for computational color constancy with high accuracy." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:307486

Banić, Nikola. "Real-time retinex-based and learning-based methods for computational color constancy with high accuracy." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:307486

Banić, N. (2016). 'Real-time retinex-based and learning-based methods for computational color constancy with high accuracy', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 March 2024, https://urn.nsk.hr/urn:nbn:hr:168:307486

Banić N. Real-time retinex-based and learning-based methods for computational color constancy with high accuracy [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 March 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:307486

N. Banić, "Real-time retinex-based and learning-based methods for computational color constancy with high accuracy", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:307486

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