In this paper, we present a novel approach to image-based rendering (IBR) for generating an arbitrary view image with arbitrary focus of a scene with two approximately constant depths. The presented method differs from the conventional IBRs using multiple view images in that we acquire two differently focused images at each camera position
and render parallax and focus effects on each object simply by linear filtering of the acquired images without segmentation.
Experimental results on the real images acquired with 4 cameras located in parallel are presented.
This paper describes a novel filtering method to reconstruct an arbitrarily focused image from two differently focused images. Based on the assumption that image scene has two layers--foreground and background--, the method uses the linear imaging model of the acquired two differently focused images and the desired image with arbitrary blurring effect manipulated independently in each layer. The linear equation that holds between these images, which is derived from the imaging model, can be formulated as image restoration problem. This paper shows the solution of this problem, completely exists as an inverse filter, and the desired image can be reconstructed only by the linear filtering. As a result, reconstruction with high accuracy and fast processing can be achieved. Experiments using real images are shown.
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