A subjective evaluation of tone mapping and exposure fusion algorithms in standard and small screen display devices

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2013

Öğrenci: MUSTAFA LEVENT EKSERT

Danışman: AHMET OĞUZ AKYÜZ

Özet:

Standard display devices are not capable of displaying real world scenes as they are perceived by humans. One of the reasons for this is their limited dynamic range. The field of high dynamic range (HDR) imaging has been developed to alleviate this problem. Among the techniques of HDR imaging, tone mapping operators (TMOs) and exposure fusion algorithms (EFAs) are commonly used to display HDR content on conventional low dynamic range (LDR) monitors. In this thesis, 4 TMOs and 3 EFAs are compared in terms of image quality reproduction on standard and small-screen display devices. The latter is motivated by the fact that small-screen monitors are becoming more widespread due to the advances in mobile devices and digital cameras. The quality reproduction is performed with respect to four criteria namely contrast, color, detail, and similarity. The results show that best TMOs outperform the best EFAs in terms of reproduction of contrast, detail, and similarity. However, EFAs are found to be better in reproduction of colors. Also, the di erences between the algorithms are found to be minimized on a small-screen display device.