轨迹滤波器:理论与应用

IF 0.6 4区 计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Rada Deeb, Graham D. Finlayson, Elaheh Daneshvar
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引用次数: 0

摘要

最近,提出了一种设计彩色滤波器的理论框架,称为轨迹滤波器。轨迹滤波器的设计使得任何的维恩-普朗克光,经过后滤波,被映射到另一个维恩-普朗克光。此外,研究还表明,只有根据基因座滤波器框架设计的滤波器才具有这种基因座到基因座的映射特性。在本文中,我们研究了轨迹滤波器在现实世界中的工作原理。我们做出了两个主要贡献。首先,对于日光,我们引入了一个新的日光轨迹,轨迹过滤器总是将一个日光映射到另一个日光(它们的相关色温映射类似于维恩-普朗克温度)。重要的是,我们展示了我们的新轨迹接近标准日光轨迹(但有一个更简单和更优雅的形式)。其次,我们评估了一些市售的光平衡和色彩校正滤光片与轨迹滤光片相似的程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Locus Filters: Theory and Application
Recently, a theoretical framework was presented for designing colored filters called Locus Filters. Locus filters are designed so that any Wien-Planckian light, post filtering, is mapped to another Wien-Planckian light. Moreover, it was also shown that only filters designed according to the locus filter framework have this locus-to-locus mapping property. In this paper, we investigate how locus filters work in the real world. We make two main contributions. First, for daylights, we introduce a new daylight locus with respect to which a locus filter always maps a daylight to another daylight (and their correlated color temperature maps in analogy to the Wien-Planckian temperatures). Importantly, we show that our new locus is close to the standard daylight locus (but has a simpler and more elegant formalism). Secondly, we evaluate the extent to which some commercially available light balancing and color correction filters behave like locus filters.
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来源期刊
Journal of Imaging Science and Technology
Journal of Imaging Science and Technology 工程技术-成像科学与照相技术
CiteScore
2.00
自引率
10.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.
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