论文标题
几何场景重新集中
Geometric Scene Refocusing
论文作者
论文摘要
用广泛摄像机捕获的图像显示有限的场地，并带有集中和散落的像素。焦点和散焦的紧凑而强大的表示有助于分析和操纵此类图像。在这项工作中，我们研究了焦点堆栈中具有较浅深度的图像的精细特征。我们提出了重点的综合度量，这是现有措施的组合。我们鉴定了焦点内像素，双聚焦像素，在焦点切片之间表现出散景和空间变化的模糊内核的像素。我们使用这些来构建一种新颖的表示，以促进对焦点堆栈的轻松操纵。我们提出了一种综合算法，用于以几何正确的方式重新聚焦后捕获后。我们的方法可以将场景重新集中在高保真度中，同时保留了焦点和散焦模糊的精细方面。
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.
