Title :
A novel depth estimation method using infocused and defocused images
Author :
Mahmoudpour, Saeed ; Manbae Kim
Author_Institution :
Dept. of Comput. & Commun. Eng., Kangwon Nat. Univ., Chunchon, South Korea
Abstract :
The blur amount of an image changes proportional to scene depth. Depth from Defocus (DFD) is an approach in which a depth map can be obtained using blur amount calculation. In this paper, a novel DFD method is proposed in which depth is measured using an infocused and a defocused image. Subbaro´s algorithm [4] is used as a preliminary depth estimation method and two complimentary approaches are provided to overcome drawbacks in edge and smooth areas1.
Keywords :
edge detection; image restoration; natural scenes; DFD method; Subbaro algorithm; complimentary approaches; defocused Images; depth estimation method; depth map measurement; depth-from-defocus; edge areas; image blur amount; infocused images; scene depth; smooth areas; Cameras; Estimation; Image color analysis; Image edge detection; Laplace equations; Stereo image processing; Three-dimensional displays; Depth map; Gradient; Image blur; Saliency;
Conference_Titel :
Consumer Electronics (ICCE), 2014 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-1290-2
DOI :
10.1109/ICCE.2014.6775935
