Proceedings Article | 26 November 2019
Proc. SPIE. 11187, Optoelectronic Imaging and Multimedia Technology VI
KEYWORDS: Eye, Imaging systems, Data storage, Image processing, Image restoration, Computer simulations, Optical flow, Geometrical optics, Algorithm development, Imaging arrays
Compared to traditional integrated imaging, the one-dimensional integrated imaging system abandons the stereoscopic effect in the vertical direction, leaving only the stereoscopic effect in the horizontal direction. While satisfying the stereoscopic perception, it greatly reduces the storage space of data and alleviates the large attenuation of resolution caused by integrated imaging. However, at present, there is no 3D film source suitable for a one-dimensional integrated imaging system. In order to address this problem, we propose an array image generation and padding algorithm based on a one-dimensional integrated imaging system. First, based on the theory of geometric optics and DIBR(Depth-image Based Rendering), we use depth maps to simulate viewpoint images at arbitrary locations. In the process, we classify the points mapped to the viewpoint image to make the generated viewpoint image more accurate. Secondly, when conducting hole filling, we first use the optical flow method to fill the large holes inside the image. We extract the edge of the hole, compare the depth values on both sides of the edge, and estimate the depth value of the hole by taking the optical flow value on the larger side, so as to calculate the mapping block of the hole on the reference frame. Finally, the other holes are filled using the Criminisi image restoration algorithm.
