Depth Improvement for FTV Systems Based on the Gradual Omission of Outliers

The virtual view synthesis is an essential part of computer vision and 3D applications. A high-quality depth map is the main problem with the virtual view synthesis because as compared to the color image, the resolution of the corresponding depth image is low. In this paper, an efficient and confided method based on the gradual omission of outliers is proposed to compute the reliable depth values. In the proposed method the depth values that are far from the mean are gradually omitted. By comparison with other state of the art methods, the simulation results show that, on average, PSNR is 2.5dB (8.1%) higher, SSIM is 0.028 (3%) more, UNIQUE is 0.021 (2.4%) more, the running time is 8.6s (6.1%) less, and the wrong pixels are 1.97 (24.8%) less.