Subjective and Objective Evaluation of Tone-Mapping and De-Ghosting Algorithms

Manchana, Akshai Krishna (2016) Subjective and Objective Evaluation of Tone-Mapping and De-Ghosting Algorithms. Masters thesis, Indian Institute of Technology Hyderabad.

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With the increasing importance of high dynamic range (HDR) imaging and low availability of HDR displays, HDR cameras the need for efficient tone mapping, De-ghosting techniques is very crucial. However the tone mapping operators, De-Ghosting tend to introduce distortions in the HDR images, thus making it visually unpleasant in normal displays. Subjective evaluation of images is important for rating these algorithms as the users should be able to visualize the complete details present in both the brightly and poorly illuminated regions of the scene. To facilitate a systematic subjective study we have created a database of HDR images tone mapped, De-Ghosted using popular algorithms. We conducted a subjective study of the tone mapped images, computed objective scores by using some of the state-of-the-art no-reference low dynamic range image quality assessment algorithms and evaluated their performance. We show that a moderate and low correlation between objective and subjective scores indicates the need for the consideration of human perception in rating tone mapping operators and De-Ghosting algorithms.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: HDR, High Dynamic Range, TMO, Tone mapping, De-Ghosting, TD709
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 31 Aug 2016 07:30
Last Modified: 30 Jul 2019 07:32
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