The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Extended depth-of-field via focus stacking and graph cuts
Abstract
Optical lenses are only able to focus a single scene plane onto the sensor, leaving the remainder of the scene subject to varying levels of defocus. The apparent depth of field can be extended by capturing a sequence with varying focal planes that is merged by selecting, for each pixel in the target image, the most focused corresponding pixel from the stack. This process is heavily dependent on capturing a stabilised sequence-a requirement that is impractical for hand-held cameras. Here we have developed a novel method that can merge a focus stack captured by a hand-held camera despite changes in shooting position and focus. Our approach is able to register the sequence using affine transformation before fusing the focus stack. We have developed a merging process that is able to identify the focused pixels for each pixel in the stack and therefore select the most appropriate pixels for the synthetically focused image. We have proposed a novel approach for capturing qualified focus stack on mobile phone cameras. Furthermore, we test our approach on a mobile phone platform that can automatically capture a focus stack as easily as a photographer capturing a conventional image.
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Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Fast approximate energy minimization via graph cuts
Boykov, Y., Veksler, O., & Zabih, R. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.969114 · Cited by 6,988
High Accuracy Optical Flow Estimation Based on a Theory for Warping
Brox, T., Bruhn, A., Papenberg, N., & Weickert, J. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24673-2_3 · Cited by 2,570
Photographic tone reproduction for digital images
Reinhard, E., Stark, M., Shirley, P., & Ferwerda, J. (2002) · Proceedings of the 29th annual conference on Computer graphics and interactive techniques · doi:10.1145/566570.566575 · Cited by 1,408
Szeliski, R., Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., & Rother, C. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.70844 · Cited by 966
Multifocus image fusion using the nonsubsampled contourlet transform
Zhang, Q., & Guo, B.-L. (2009) · Signal Processing · doi:10.1016/j.sigpro.2009.01.012 · Cited by 683
Non-rigid point set registration: Coherent Point Drift
Myronenko, A., Song, X., & Carreira-Perpiñán, M. Á. (2007) · Advances in Neural Information Processing Systems 19 · doi:10.7551/mitpress/7503.003.0131 · Cited by 339
Smoothly varying affine stitching
Lin, W.-Y., Liu, S., Matsushita, Y., Ng, T.-T., & Cheong, L.-F. (2011) · CVPR 2011 · doi:10.1109/cvpr.2011.5995314 · Cited by 281
A geometric approach to shape from defocus
Favaro, P., & Soatto, S. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.43 · Cited by 276
Image deblurring using inertial measurement sensors
Joshi, N., Kang, S. B., Zitnick, C. L., & Szeliski, R. (2010) · ACM Transactions on Graphics · doi:10.1145/1778765.1778767 · Cited by 272
Research works printed but not linked: 2
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- 0, CombineZP
Metadata
- Authors
- Zhang, C., Bastian, J., Shen, C., van den Hengel, A., & Shen, T.
- Venue
- 2013 IEEE International Conference on Image Processing
- Publisher
- IEEE
- Published
- 2013-09
- Pages
- 1272-1276
- Cited by
- 11
- References
- 19
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- Zhang, C., Bastian, J., Shen, C., van den Hengel, A., & Shen, T. (2013). Extended depth-of-field via focus stacking and graph cuts. 2013 IEEE International Conference on Image Processing. https://doi.org/10.1109/icip.2013.6738262
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