Inhomogeneous dielectric surfaces exhibit both diffuse and specular re
flection components. Although various reflection models have been prop
osed for both of these components, the prediction of the relative stre
ngths of these components in computer vision and computer graphics has
so far not had a strong physical motivation. We propose a reflectance
model for combined diffuse and specular reflection from dielectric ma
terials that involves purely physical parameters (i.e., no ad hoc weig
hting of specular and diffuse components). This reflectance model is u
sed to predict the relative strength of diffuse and specular reflectio
n components in terms of imaging geometry, dielectric surface paramete
rs, and solid angular extent of incident light. We derive lower bounds
on the contrast ratio between a specularity and surrounding diffuse r
eflecting regions. These can be used effectively to rule out highly co
ntrasting diffuse reflecting regions being misidentified as specularit
ies under a number of conditions that can significantly aid intensity-
based specularity detection methods, and in turn image understanding.
The presented theoretical developments can be used to predict the phot
ometric dynamic range of illuminated objects, which can be essential t
o inspection methods in machine vision. These developments can also be
used in computer graphics for the physically precise rendering of the
relative strengths of specular and diffuse reflection from inhomogene
ous dielectrics.