Watermaking three-dimensional polygonal models
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Scientific Computing
Diffraction-specific fringe computation for electro-holography
Diffraction-specific fringe computation for electro-holography
Robust Watermarking of Point-Sampled Geometry
SMI '04 Proceedings of the Shape Modeling International 2004
Data hiding on 3D polygonal meshes
Proceedings of the 2004 workshop on Multimedia and security
A high-capacity steganographic approach for 3D polygonal meshes
The Visual Computer: International Journal of Computer Graphics
Reversible Data Hiding for 3D Point Cloud Model
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
An adaptive steganographic algorithm for 3D polygonal meshes
The Visual Computer: International Journal of Computer Graphics
Robust blind watermarking of point-sampled geometry
IEEE Transactions on Information Forensics and Security
Steganography for three-dimensional models
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Data hiding on 3-D triangle meshes
IEEE Transactions on Signal Processing
Watermarking three-dimensional polygonal models through geometric and topological modifications
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
Dynamic holographic reconstructions can be obtained by employing digital holographic video displays which are pixelated devices. In practice, spatial light modulators (SLMs) are used in such purposes. The pixelated structure of SLMs can affect quality of the reconstructed objects. Hence, to obtain better reconstructions, pixelated structure of SLMs has to be taken into consideration. Rapid calculation of the diffraction field which is emitted by the object is just as important as the accuracy of the diffraction field. The presented algorithm is based on computation of Fresnel integral over each pixel area on SLM, thus accurate results are attained. Fast computation of the diffraction field is obtained by scaling of a pre-computed diffraction field compared to standard way of computing the diffraction field. Scaling operation is obtained by using three interpolation methods: rounding to nearest value, linear and cubic interpolation. Although, the rounding to nearest value gives the shortest computation time among all three interpolation methods, it provides the largest normalized mean square error (NMSE). The smallest NMSE can be attained when cubic interpolation is used for computation of diffraction field, but it yields the longest the computation time. Even if NMSE performance of the linear interpolation method is not as good as the cubic interpolation method, the computation time can be reduced by nearly half.