1 |
S. K. Nayar and Y. Nakagawa, "Shape from focus," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, pp. 824-831, 1994.
DOI
ScienceOn
|
2 |
M. T. Mahmood and Y. K. Choi, "3D Shape Recovery from Image Focus using Gaussian Process Regression," Journal of the Semiconductor & Display Technonogy, vol. 11, no. 3, pp. 19-25, 2012.
|
3 |
M. Asif and T. S. Choi, "Shape from focus using multilayer feedforward neural networks," in Image Processing, IEEE Transactions on Image Processing, vol. 10, pp. 1670-1675, 2001.
|
4 |
A. Thelen, S. Frey, S. Hirsch, and P. Hering, "Improvements in Shape-From-Focus for Holographic Reconstructions With Regard to Focus Operators, Neighborhood-Size, and Height Value Interpolation," in IEEE Transactions on Image Processing, vol. 18, pp. 151-157, 2009.
DOI
ScienceOn
|
5 |
R. Hariharan and A. N. Rajagopalan, "Shape-From- Focus by Tensor Voting," IEEE Transactions on Image Processing, vol. 21, pp. 3323-3328, 2012.
DOI
ScienceOn
|
6 |
M. T. Mahmood, A. Majid, and T. S. Choi, "Optimal depth estimation by combining focus measures using genetic programming," Information Sciences, vol. 181, pp. 1249-1263, 2011.
DOI
ScienceOn
|
7 |
E. Krotkov, "Focusing," International Journal of Computer Vision, vol. 1, pp. 223 - 237, 1988.
DOI
ScienceOn
|
8 |
M. Kumar and S. Dass, "A Total Variation-Based Algorithm for Pixel-Level Image Fusion," Image Processing, IEEE Transactions on Image Processing, vol. 18, pp. 2137-2143, 2009.
DOI
ScienceOn
|
9 |
L. I. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Physica D: Nonlinear Phenomena, vol. 60, pp. 259-268, 1992.
DOI
ScienceOn
|
10 |
M. T. Mahmood and T. S. Choi, "Nonlinear Approach for Enhancement of Image Focus Volume in Shape From Focus," IEEE Transactions on Image Processing, vol. 21, pp. 2866-2873, 2012.
DOI
ScienceOn
|