A NEUROPHYSIOLOGY-BASED MODEL TO ESTIMATE VISIBILITY IN ACTUAL LIGHTING ENVIRONMENT

Abstract

Visibility is one of the fundamental factors for explaining the lighting environment, and various quantitative indexes for these have been made in such a manner that directly finds the formulae that best match the numerous subjective evaluations. Recently neurophysiology-based models have been paid attention as the complementary or alternative methods to these conventional indexes. In this paper we will introduce the normalization and gain control models, which are generally accepted theories in the visual information processing, to estimate the visibility, and verify the validity of this algorithm by comparing with the subjective evaluation in the experimental room. The result showed that the algorithm in this research could estimate the visibility of the simple objects in the experimental space with a pseudo window with great accuracy, however, it is desirable and necessary to publicly discuss various algorithms and clarify their reliability based on the verification results under various situations.