Image Enhancement
Homomorphic filter is sometimes used for image enhancement. It simultaneously normalizes the brightness across an image and increases contrast. Here homomorphic filtering is used to remove multiplicative noise. Illumination and reflectance are not separable, but their approximate locations in the frequency domain may be located. Since illumination and reflectance combine multiplicatively, the components are made additive by taking the logarithm of the image intensity, so that these multiplicative components of the image can be separated linearly in the frequency domain. Illumination variations can be thought of as a multiplicative noise, and can be reduced by filtering in the log domain.
To make the illumination of an image more even, the high-frequency components are increased and low-frequency components are decreased, because the high-frequency components are assumed to represent mostly the reflectance in the scene (the amount of light reflected off the object in the scene), whereas the low-frequency components are assumed to represent mostly the illumination in the scene. That is, high-pass filtering is used to suppress low frequencies and amplify high frequencies, in the log-intensity domain.
Read more about this topic: Homomorphic Filtering
Famous quotes containing the word image:
“The places we have known do not only belong to the world of space in which we situate them for the sake of simplicity. They were but a thin slice between contiguous impression which formed our lives back then; the memory of a certain image is but the regret of a certain instant; and the houses, the roads, the avenues are fleeting, alas! as the years.”
—Marcel Proust (1871–1922)