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基于感知的视觉适应模型设计

A Perceptually Based Model of Visual Adaptation

作者:Armin Samii; James O'Brien 作者单位:EECS Department, University of California, Berkeley 加工时间:2015-03-23 信息来源:EECS 索取原文[27 页]
关键词:视觉适应;感知模型;去马赛克;明适应;暗适应
摘 要:In this paper we describe a perceptual model that accounts for the time-varying changes to perceived color and brightness that occur due to time-varying adaptation and the transition between cone- and rod-mediated vision. Given a multispectral, high-dynamic-range image of a scene and the viewer's current adaptive state, this model produces a low-dynamic-range image that, when viewed photopically, creates a perception similar to what would have been experienced by the viewer in the original scene. When applied to a video sequence, our model produces temporally coherent output which models the viewer's adaptation state. A calibrated four-color-channel video camera is used to obtain video-rate data for scenes with moving objects. We describe a new demosaicing algorithm for working with this type of camera, and how the four color channels can be use to estimate independent rod and cone responses.
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