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Image Appearance Modeling and High-Dynamic-Range Image Rendering

机译:图像外观建模和高动态范围图像渲染

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摘要

Recently, the field of color appearance modeling has been extended further into the spatial and temporal domains through efforts known as image appearance modeling. Image appearance models have applications in rendering and visualization of image data, cross-media image and video reproduction, and image quality specification. This presentation provides an overview of one such model, iCAM, illustrates several examples of its application, and reviews a psychophysical experiment aimed at evaluating iCAM and other algorithms for tone mapping of high-dynamic-range (HDR) images. Initial psychophysical results for HDR image rendering indicates that the Durand and Dorsey [2002] algorithm produces the most preferred results in a general sense. A full technical report on this work can be found at < www.cis.rit.edu/mcsl/research/reports.html >. Example iCAM code and further references can be found at < www.cis.rit.edu/mcsl/iCAM >.
机译:最近,通过称为图像外观建模的努力,颜色外观建模的领域已进一步扩展到时空领域。图像外观模型可用于图像数据的渲染和可视化,跨媒体图像和视频再现以及图像质量规范。本演示文稿概述了这种模型iCAM,说明了其应用的几个示例,并回顾了旨在评估iCAM和其他用于高动态范围(HDR)图像色调映射的算法的心理物理实验。 HDR图像渲染的初步心理生理结果表明,Durand and Dorsey [2002]算法在一般意义上产生了最优选的结果。有关这项工作的完整技术报告,请参见。可以在中找到示例iCAM代码和更多参考。

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