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Volume: 32 | Article ID: art00011
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Spatial Distance-based Interpolation Algorithm for Computer Generated 2D+Z Images
  DOI :  10.2352/ISSN.2470-1173.2020.2.SDA-140  Published OnlineJanuary 2020
Abstract

Computer generated 2D plus Depth (2D+Z) images are common input data for 3D display with depth image-based rendering (DIBR) technique. Due to their simplicity, linear interpolation methods are usually used to convert low-resolution images into high-resolution images for not only depth maps but also 2D RGB images. However linear methods suffer from zigzag artifacts in both depth map and RGB images, which severely affects the 3D visual experience. In this paper, spatial distance-based interpolation algorithm for computer generated 2D+Z images is proposed. The method interpolates RGB images with the help of depth and edge information from depth maps. Spatial distance from interpolated pixel to surrounding available pixels is utilized to obtain the weight factors of surrounding pixels. Experiment results show that such spatial distance-based interpolation can achieve sharp edges and less artifacts for 2D RGB images. Naturally, it can improve the performance of 3D display. Since bilinear interpolation is used in homogenous areas, the proposed algorithm keeps low computational complexity.

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Yuzhong Jiao, Kayton Wai Keung Cheung, Mark Ping Chan Mok, Yiu Kei Li, "Spatial Distance-based Interpolation Algorithm for Computer Generated 2D+Z Imagesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Stereoscopic Displays and Applications XXXI,  2020,  pp 140-1 - 140-6,  https://doi.org/10.2352/ISSN.2470-1173.2020.2.SDA-140

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