使用提出的中值滤波和多相似度上采样方法与À-Trous小波滤波和多相似度上采样方法生成的虚拟视点的PSNR分别比自适应权值上采样方法提高至少0.04 dB和0.22 dB
而且后者极大程度上改善了虚拟视点的主观绘制质量。
Abstract
In order to deal with the problem of lower render quality and unsatisfactory subjective effect of virtual view in the virtual views synthesis system
and to improve the compression performance of the depth map
the filtering for decoded low resolution depth maps and a depth upsampling method are investigated in the depth map encoding method based on the down/up sampling in this paper. First
H.264/MVC is used to compress the low-resolution depth map according to the character of the depth map. Then
the À-Trous wavelet filter is used to filter the decoded low-resolution depth map to decrease the artificial effect
and a depth upsampling method based on multi-similarity adaptive support weight is used to reconstruct the original resolution depth map. Finally
up-sampling depth map and an uncompressed color sequence is used to render the virtual view and to evaluate the render quality by PSNR of the virtual view. The experimental result shows that the PSNR of two proposed methods are 0.04 dB and 0.22 dB higher than ASW(adaptive support-weight) respectively
and subjective quality of the virtual view is improved a lot