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Spatio-temporal Tone Mapping Operator Based on a Retina Model

机译:基于视网膜模型的时空色调映射算子

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From moonlight to bright sun shine, real world visual scenes contain a very wide range of luminance; they are said to be High Dynamic Range (HDR). Our visual system is well adapted to explore and analyze such a variable visual content. It is now possible to acquire such HDR contents with digital cameras; however it is not possible to render them all on standard displays, which have only Low Dynamic Range (LDR) capabilities. This rendering usually generates bad exposure or loss of information. It is necessary to develop locally adaptive Tone Mapping Operators (TMO) to compress a HDR content to a LDR one and keep as much information as possible. The human retina is known to perform such a task to overcome the limited range of values which can be coded by neurons. The purpose of this paper is to present a TMO inspired from the retina properties. The presented biological model allows reliable dynamic range compression with natural color constancy properties. Moreover, its non-separable spatio-temporal filter enhances HDR video content processing with an added temporal constancy.
机译:从月光到灿烂的阳光,真实世界的视觉场景包含很大范围的亮度;它们被称为高动态范围(HDR)。我们的视觉系统非常适合探索和分析这种可变的视觉内容。现在可以使用数码相机获取此类HDR内容;但是,不可能将它们全部呈现在仅具有低动态范围(LDR)功能的标准显示器上。这种渲染通常会产生不良的曝光或信息丢失。必须开发本地自适应音调映射运算符(TMO),以将HDR内容压缩为LDR,并保留尽可能多的信息。已知人类视网膜执行这样的任务以克服可被神经元编码的值的有限范围。本文的目的是介绍受视网膜特性启发的TMO。提出的生物模型可以实现具有自然色彩恒定性的可靠动态范围压缩。此外,其不可分离的时空滤波器增强了HDR视频内容的处理,并增加了时间常数。

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