Abstract
Holographic three-dimensional (3D) imaging of Terra-Cotta Warrior model using Fractional Fourier Transform is introduced in this paper. Phase holograms of Terra-Cotta Warrior model are calculated from 60 horizontal viewing-angles by the use of fractional Fourier transform (FRT). Multiple phase holograms are calculated for each angle by adding proper pseudorandom phase to reduce the speckle noise of a reconstructed image. Experimental system based on high-resolution phase-only spatial light modulator (SLM) is built for 3D image reconstruction from the calculated phase holograms. The texture of the Terra-Cotta Warrior model is rough. The calculation of rough texture is optimized in order to show better model details. The effects of computing distance and layer thickness on imaging quality are analyzed finally.
Highlights
Holographic display is a three-dimensional (3D) display method for showing 3D information of real objects
These methods mainly include two types: one is for the processing of reconstructed images and the other is focused on heterogeneous optimization to improve
In [16], Zhang et al proposed the method of displaying full color 3D objects using fractional Fourier transform (FRT)
Summary
Holographic display is a three-dimensional (3D) display method for showing 3D information of real objects. Kinoform is a phase hologram with high diffraction efficiency [11] It can reduce the noise of the reconstructed image, but the reconstruction error of the amplitude distribution in the image plane is introduced, because the amplitude of the wavefront in the hologram plane is neglected. The algorithm of reducing speckle noise arises in order to improve the image quality These methods mainly include two types: one is for the processing of reconstructed images and the other is focused on heterogeneous optimization to improve. In [16], Zhang et al proposed the method of displaying full color 3D objects using fractional Fourier transform (FRT) They redisplayed a toy model and analyze the noise by image superposing method.
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