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

Publish Year: 1398
Type: Journal paper
Language: English
View: 438

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Document National Code:

JR_JADM-7-4_007

Index date: 9 December 2019

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

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.

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

H. Hosseinpour

Department of Electrical Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran.

Seyed A. Moosavie nia

Department of Computer Engineering, K.N Toosi University, Tehran, Iran.

M. A. Pourmina

Department of Electrical Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran.