Medical Image Contrast Enhancement via Wavelet Homomorphic Filtering Transform
Abstract: A novel medical
image enhancement algorithm based on spatial domain is presented in this paper.
The medical image is firstly divided into several sub-images under the dyadic
wavelet scaleanalysis. As different directional sub-images can reflect
different characteristics, at each level, different Butterworth homomorphic
filtering functions are used in performing filtering of corresponding sub-band images
to attenuate the low frequencies as well as amplify the high frequencies and a
linear adjustment is carried out on the low frequency of the highest level.
Later, the wavelet reconstruction course is utilized to get the final image.
Experiments on magnetic resonance (MR) images of temporomandibular joint (TMJ) soft
tissues have shown that our method can eliminate non-uniformity luminance
distribution of medical images effectively and its performance is better than
traditional Butterworth homomorphic filtering algorithm.
Author: Xinmin Zhou
Journal Code: jptkomputergg160256
