Edge-Preserving Depth Map Super-Resolution with Intensity Guidance

Depth discontinuity edge affects the visual quality of synthesized images in 3D image warping. However, it suffers from accuracy degradation when up-sampled from low-resolution depth maps, especially at large scaling factors. To preserve the accuracy of depth discontinuity, a novel joint bilateral depth super-resolution with intensity guidance method is proposed. Particularly, the fast local intensity classification is exploited to estimate depth coefficients in joint bilateral up-sampling for depth maps, so as to eliminate depth discontinuity edge misalignment. Additionally, the proposed method is accelerated on graphic processing units (GPUs) to meet the requirement of realtime application. Experiments demonstrate that our method can preserve the accuracy of depth discontinuity edges after super resolution, leveraging the visual quality of synthesized image in 3D image warping.