Abstract
Novel image processing methods are presented in this work for
3D synthesis of multiview images and crosstalk reduction to improve
the perceived image quality of lenticular autostereoscopic displays.
First, for optimizing the intensity of a screen subpixel mapped to
a fraction view number, a weighting method is proposed to blend the
intensities of the corresponding subpixels from the two neighboring
integer view images by minimizing the mean square error. Experimental
results show that, comparing with the conventional rounding method,
the proposed weighting method can effectively reduce the ghosting
artifacts and sharpen the object boundaries when viewing at optimal
integer viewpoints. Second, the crosstalk among vertical neighboring
subpixels is modeled as a shift-invariant low-pass filter, and a novel
computational efficient inverse filtering method is proposed for crosstalk
reduction by applying fast Fourier transform (FFT) on each column
of subpixels in the multiview interlaced screen image. In addition,
a novel filtering method is proposed for determining the maximum input
dynamic range of screen subpixel intensities. Experimental results
demonstrate that the ghost image from neighboring views can be substantially
diminished by the proposed inverse filtering method.
© 2015 IEEE
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