Depth Estimation from a Single Defocused Image Using No Reference Image Quality Assessment Metrics
Publish place: Fifth International Conference on Technology Development in Iranian Electrical Engineering
Publish Year: 1400
Type: Conference paper
Language: English
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Document National Code:
ECMCONF05_025
Index date: 19 June 2021
Depth Estimation from a Single Defocused Image Using No Reference Image Quality Assessment Metrics abstract
In this paper, a new algorithm is proposed for estimating depth from defocus. Most of the proposed methods use at least two blurred images to estimate the relative depth of objects lying in a scene. The proposed method uses just one image to do that. It is based on image quality assessment criteria. A deblurred image can be divided into small patches. Each patch is deblurred with various scales of PSF. A deblurred result which yields the best quality is used to determine the correct PSF scale. The quality is measured with a weighted sum of four image quality assessment measures. Extensive simulations are conducted to compare the performance of our method with the previously proposed ones.
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Depth Estimation from a Single Defocused Image Using No Reference Image Quality Assessment Metrics authors
Mina Masoudifar
Department of Computer Engineering, Hakim Sabzevari University
Hamid Reza Pourreza
Department of Computer Engineering, Ferdowsi University of Mashhad