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