Min Yang , Qingyang Fu , Yan Liu , Xi Zou , Pin Wang , Yaping Zhang , Ting-Chung Poon
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Polygon-based computer-generated holography: Anti-aliased texture rendering via self-similar segmentation
In textured polygon-computer-generated holography based on self-similar segmentation, texture can represent the details of an object without increasing the number of meshes. Texture mapping is usually realized by sampling texture values, which produces aliasing artifacts at abrupt changes in texture values when the subdivision degree M is small with insufficient number of samples. Although this can be mitigated by increasing M, it causes a dramatic increase in computational complexity. To balance the computational effort with the visual quality, in this paper, we propose an effective anti-aliasing texture rendering method that utilizes sub-triangle vertices to sample the texture and linearly interpolates the sampled texture values to assign inhomogeneous magnitudes to the primitive sub-triangles. Our method can mitigate aliasing artifacts to improve reconstruction quality with acceptable calculation time. Numerical and optical reconstructions demonstrate the effectiveness of the scheme.
期刊介绍:
Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.
Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following:
-Optical Metrology-
Optical Methods for 3D visualization and virtual engineering-
Optical Techniques for Microsystems-
Imaging, Microscopy and Adaptive Optics-
Computational Imaging-
Laser methods in manufacturing-
Integrated optical and photonic sensors-
Optics and Photonics in Life Science-
Hyperspectral and spectroscopic methods-
Infrared and Terahertz techniques