Abstract
This paper describes a method of image generation based on transformation integrating certain sequences of multiple differently focused images. First, we assume that a scene is defocused by a geometrical blurring model. Then we combine spatial frequencies of the scene and the sequence with a 3-D convolution filter that expresses how the scene is defocused on the sequence. The filter can be represented with a linear combination of ray-sets through each point of the lens. Based on the relation, in the 3-D frequency domain we extract each ray-set from the filter as certain frequency components and merge them to reconstruct various filters that can generate images with different viewpoints and blurs.
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