Browse > Article

Depth Map Generation Algorithm from Single Defocused Image  

Lee, Yong-Hwan (Department of Smart Mobile, Far East University)
Kim, Youngseop (Department of Electronic Engineering, Dankook University)
Publication Information
Journal of the Semiconductor & Display Technology / v.15, no.3, 2016 , pp. 67-71 More about this Journal
Abstract
This paper addresses a problem of defocus map recovery from single image. We describe a simple effective approach to estimate the spatial value of defocus blur at the edge location of the image. At first, we perform a re-blurring process using Gaussian function with input image, and calculate a gradient magnitude ratio with blurring amount between input image and re-blurred image. Then we get a full defocus map by propagating the blur amount at the edge location. Experimental result reveals that our method outperforms a reliable estimation of depth map, and shows that our algorithm is robust to noise, inaccurate edge location and interferences of neighboring edges within input image.
Keywords
Stereoscopic image; Depth map generation; Defocus blurring filter; Depth recovery;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 "3D Entertainment: Dimensions of an Emerging Market", One Touch Intelligence, Technical Report, 2010.
2 Sang-Hee Kweon, "Research of Fundamental Empirical Factors on 3D Stereoscopic Images - Focused on Measurement of 3D Pictures Application Importance on Contents and Media", Korea Association of Cultural Economics - Review of Culture and Economy, vol.15, No.1, 2012.
3 Eungyeol Song, Youngseop Kim, "The Algorithm of Brightness Control Display Matching in Stereoscopic", Journal of the Semiconductor and Display Technology, Vol.8, No.4, 2009.
4 Jae-In Kim, Taejung Kim, "Automated Image Alignment and Monitoring Method for efficient Stereoscopic 3D Contents Production", Journal of Broadcast Engineering, Vol.19, No.2, 2014.
5 Jean Maria Dominic, "Recent Trends in 2D to 3D Conversion: A Survey", International Journal for Research in Applied Science and Engineering Technology, Vol.2, Issue.4, 2014.
6 Umesh R. Dhond, J. K. Aggarwal, "Structure from Stereo - A Review", IEEE Transactions on Systems, Man and Cybernetics", Vol.19, No.6, 1989.
7 Naoki Asada, Hisanaga Fujiwara, Takashi Matsuyama, "Edge and Depth from Focus", International Journal of Computer Vision, Vol.26, Issue.2, 1998.
8 Francese Moreno-Noguer, Peter N. Belhumeur, Shree K. Nayar, "Active refocusing of images and videos", ACM Transaction on Graphics, Vol.26, Issue.3, 2007.
9 A. P. Pentland, "A New Sense for Depth of Field", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.9, Issue.4, 1987.
10 Yangjie Wei, Zaili Dong, Chengdong Wu, "Global depth from defocus with fixed camera parameters", International Conference on Mechatronics and Automation, 2009.
11 Vinay P. Namboodiri, Subhasis Chaudhuri, Sunil Hadap, "Regularized depth from defocus", IEEE International Conference on Image Processing, 2008.
12 Murali Subbarao, Tse-Chung Wei, Surya G. Nurzaman, "Focused image recovery from two defocused images recorded with different camera settings", Computer Society Conference on Computer Vision and Pattern Recognition, 2002.
13 Steven S. Beauchemin, Ruzena Bajcsy, "Modelling and Removing Radial and Tangential Distortions in Spherical Lenses", International Workshop on Theretical Foundations of Computer Vision, LNCS 2031, 2000.
14 http://en.wikipedia.org/wiki/Circle_of_confusion
15 N. Komodakis, G. Tziritas, "Approximate Labeling via Graph-Cuts Based on Linear Programming", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007.
16 S. Vijayarani, M. Vinupriya, "Performance Analysis of Canny and Sobel Edge Detection Algorithm in Image Mining", International Journal of Innovative Research in Computer and Communication Engineering, Vol.1, Issue.8, 2013.
17 N. Komodakis G. Tziritas, N. Paragios, "Performance vs. computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies", Proceedings of Computer Vision and Image Understanding, 112(1), 2008.