H
Hossein Ziaei Nafchi
Researcher at École de technologie supérieure
Publications - 24
Citations - 659
Hossein Ziaei Nafchi is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Phase congruency & Image quality. The author has an hindex of 13, co-authored 24 publications receiving 520 citations. Previous affiliations of Hossein Ziaei Nafchi include École Normale Supérieure & Université du Québec.
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Journal ArticleDOI
Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator
TL;DR: The experimental results show that the proposed index provides comparable or better quality predictions than the most recent and competing state-of-the-art IQA metrics in the literature, it is reliable and has low complexity.
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FSITM: A Feature Similarity Index For Tone-Mapped Images
TL;DR: Based on the local phase information of images, an objective index, called the feature similarity index for tone-mapped images (FSITM), is proposed in this paper, which compares the locally weighted mean phase angle map of an original high dynamic range (HDR) to that of its associated tone mapped image calculated using the output of the TMO method.
Journal ArticleDOI
FSITM: A Feature Similarity Index For Tone-Mapped Images
TL;DR: Based on the local phase information of images, an objective index, called the feature similarity index for tone-mapped images (FSITM), is proposed in this paper, which compares the locally weighted mean phase angle map of an original high dynamic range (HDR) to that of its associated tone mapped image calculated using the output of the TMO method.
Journal ArticleDOI
Phase-Based Binarization of Ancient Document Images: Model and Applications
TL;DR: A phase-based binarization model for ancient document images is proposed, as well as a postprocessing method that can improve anybinarization method and a ground truth generation tool.
Proceedings ArticleDOI
An Efficient Ground Truthing Tool for Binarization of Historical Manuscripts
TL;DR: The PhaseGT is a semiautomatic approach to ground truthing of images of any language, especially designed for historical document images, that uses the phase congruency features to preprocess the input image and provides a more accurate initial binarization to the human expert who performs the manual part.