TY - JOUR ID - 1464 TI - Depth Improvement for FTV Systems Based on the Gradual Omission of Outliers JO - Journal of AI and Data Mining JA - JADM LA - en SN - 2322-5211 AU - Hosseinpour, H. AU - Moosavie nia, Seyed A. AU - Pourmina, M. A. AD - Department of Electrical Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran. AD - Department of Computer Engineering, K.N Toosi University, Tehran, Iran. Y1 - 2019 PY - 2019 VL - 7 IS - 4 SP - 563 EP - 574 KW - Virtual view synthesis KW - epipolar line KW - reliable depth KW - gradual omission of outliers KW - Hole filling DO - 10.22044/jadm.2019.7278.1864 N2 - Virtual view synthesis is an essential part of computer vision and 3D applications. A high-quality depth map is the main problem with 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 reliable depth values. In the proposed method depth values that are far from the mean of depth values are omitted gradually. By comparison with other state of the art methods, 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 wrong pixels are 1.97(24.8%) less. UR - https://jad.shahroodut.ac.ir/article_1464.html L1 - https://jad.shahroodut.ac.ir/article_1464_d9e5d8d85b340efa1b183800aae20cc0.pdf ER -