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 real-time 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.