3D Synthesis and Crosstalk Reduction for Lenticular Autostereoscopic Displays

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.