High-Quality Computational Imaging through Simple Lenses
High-Quality Computational Imaging through Simple Lenses
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DOI：
10.1145/2516971.2516974
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发表时间：
2013-09-01
影响因子：
6.2
通讯作者：
Kolb, Andreas
中科院分区：
文献类型：
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作者：
Heide, Felix;Rouf, Mushfiqur;Kolb, Andreas
现代成像光学系统是由多达24个单独的光学元件组成的高度复杂的系统。为了补偿单个透镜的几何像差和色差，包括几何失真、场曲、与波长相关的模糊和彩色边缘，需要这种复杂性。在本文中，我们提出了一套计算摄影技术来消除这些伪影，从而允许对通过未经补偿的简单光学器件捕获的图像进行捕获后校正，这些光学器件更轻且成本低得多。具体来说，我们估计每通道，空间变化的点扩散函数，并执行非盲反卷积与一个新的跨通道的长期，旨在专门消除彩色边缘。
Modern imaging optics are highly complex systems consisting of up to two dozen individual optical elements. This complexity is required in order to compensate for the geometric and chromatic aberrations of a single lens, including geometric distortion, field curvature, wavelength-dependent blur, and color fringing.In this article, we propose a set of computational photography techniques that remove these artifacts, and thus allow for postcapture correction of images captured through uncompensated, simple optics which are lighter and significantly less expensive. Specifically, we estimate per-channel, spatially varying point spread functions, and perform nonblind deconvolution with a novel cross-channel term that is designed to specifically eliminate color fringing.