Geometric Scene Refocusing
Parikshit Sakurikar, P. J. Narayanan

TL;DR
This paper introduces a new method for analyzing and manipulating images with shallow depth-of-field, enabling high-fidelity post-capture refocusing while preserving focus and blur details.
Contribution
It presents a composite focus measure and a novel representation for focal stacks, facilitating geometrically correct and detailed refocusing of images.
Findings
Accurately identifies in-focus, dual-focus, and bokeh pixels.
Provides a high-fidelity refocusing algorithm.
Preserves fine focus and defocus details during refocusing.
Abstract
An image captured with a wide-aperture camera exhibits a finite depth-of-field, with focused and defocused pixels. A compact and robust representation of focus and defocus helps analyze and manipulate such images. In this work, we study the fine characteristics of images with a shallow depth-of-field in the context of focal stacks. We present a composite measure for focus that is a combination of existing measures. We identify in-focus pixels, dual-focus pixels, pixels that exhibit bokeh and spatially-varying blur kernels between focal slices. We use these to build a novel representation that facilitates easy manipulation of focal stacks. We present a comprehensive algorithm for post-capture refocusing in a geometrically correct manner. Our approach can refocus the scene at high fidelity while preserving fine aspects of focus and defocus blur.
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Taxonomy
TopicsImage Processing Techniques and Applications · Digital Holography and Microscopy · Cell Image Analysis Techniques
