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In this paper we develop a computational model of adaptation and spatial vision for realistic tone reproduction. The model is based on a multiscale representation of pattern, luminance, and color pro- cessing in the human visual system. We incorporate the model into a tone reproduction operator that maps the vast ranges of radiances found in real and synthetic scenes into the small fixed ranges avail- able on conventional display devices such as CRT's and printers. The model allows the operator to address the two major problems in realistic tone reproduction: wide absolute range and high dynamic range scenes can be displayed; and the displayed images match our perceptions of the scenes at both threshold and suprathresh- old levels to the degree possible given a particular display device. Although in this paper we apply our visual model to the tone re- production problem, the model is general and can be usefully ap- plied to image quality metrics, image compression methods, and perceptually-based image synthesis algorithms.

A multiscale model of adaptation and spatial vision for realistic image display