View synthesis from defocused stereo images with coded aperture
Yuta Narukiyo, Akira Kubota · 2016
In this paper, we propose a linear view interpolation method using defocused stereo images with coded aperture. The proposed method, without requiring depth estimation, reconstructs intermediate view by iteratively minimizing the squared error of stereo images model that is a linear combination of depth textures. Using the defocused images with Zhou's aperture code makes view interpolation higher quality.