What Is Homomorphic Filtering in Digital Image Processing?

What Is Homomorphic Filtering in Digital Image Processing?

Homomorphic filtering is a generalized technique for signal and image processing, involving a nonlinear mapping to a different domain in which linear filter techniques are applied, followed by mapping back to the original domain. This concept was developed in the 1960s by Thomas Stockham, Alan V.

What is homomorphic filtering what is the transfer function of it?

Homomorphic fIlter is mainly used to reduce the uneven illumination and enhance the image quality, it belongs to the frequency domain processing by using a frequency transfer function, the problem is the transfer function reduce the low frequency as well as lose gray information at X-ray image dark space.

Which filter is used in homomorphic filtering?

Homomorphic filtering works in frequency domain, by applying a high-pass type filter to reduce the significance of low frequency components. However, in literatures, there are several versions of mathematical equation used to present this filter.

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Marcus Vance

Marcus Vance is a cybersecurity auditor and technology writer dedicated to educating the public about online safety, data privacy regulations, enterprise security, and emerging cyber threats.