Article ID Journal Published Year Pages File Type
4969687 Pattern Recognition 2017 40 Pages PDF
Abstract
In this work, we propose novel methods for the generation of multiple depth layers and all-in-focus images. Multiple depth layers are produced by applying a sequence of blurring and deblurring operations to determine the depth. The proposed method makes no assumptions with regard to the properties of the scene in resolving depth ambiguity in complex images. We also developed a method by which to generate all-in-focus images, in which the sharpness is preserved and instabilities imposed by conventional deblurring operations largely eliminated. This method involves updating outliers, for which depth was over-estimated, while compensating for errors in the estimation of depth imposed by deblurring.
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
Authors
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