Depth Estimation from a Single Defocused Image Using No Reference Image Quality Assessment Metrics
سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 378
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شناسه ملی سند علمی:
ECMCONF05_025
تاریخ نمایه سازی: 29 خرداد 1400
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
Mina Masoudifar
Department of Computer Engineering, Hakim Sabzevari University
Hamid Reza Pourreza
Department of Computer Engineering, Ferdowsi University of Mashhad