| People's perception of glare is primarily based on two factors: absolute brightness and contrast. One possible glare analysis method is using empirical formulas to predict people's feeling of the possible magnitude of un-comfortableness. High Dynamic Range image (HDR) is a type of processed digital image that contains much higher dynamic range information which could potentially be used a luminance mapping tool. In the thesis, author tested several factors which could affect the accuracy of luminance mapping by HDR image and what the extent of influence they are. By using HDR images as luminance maps, the author proposed a C++ program GlareIndices to calculate three glare indices namely Unified Glare Rating, BRS glare equation and Luminance Histogram Ratio to predict glare possibility in an existing scene without involving human subjects. |
