Realizations of fast 2-D/3-D image filtering and enhancement

IEEE Transactions on Medical Imaging
H TangE X Wu

Abstract

This paper proposes a novel algorithm for multidimensional image enhancement based on a fuzzy domain enhancement method, and an implementation of a recursive and separable low-pass filter. Considering a smoothed image as a fuzzy data set, each pixel in an image is processed independently, using fuzzy domain transformation and enhancement of both the dynamic range and the local gray level variations. The algorithm has the advantages of being fast and adaptive, so it can be used in real-time image processing applications and for multidimensional data with low computational cost. It also has the ability to reduce noise and unwanted background that may affect the visualization quality of two-dimensional (2-D)/three-dimensional (3-D) data. Examples for the applications of the algorithm are given for mammograms, ultrasound 3-D images, and photographic images.

References

Sep 15, 1998·IEEE Transactions on Medical Imaging·H D ChengR I Freimanis
Jan 1, 1997·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Y S Choi, R Krishnapuram
Jan 1, 1995·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·F Russo, G Ramponi
Feb 1, 1980·IEEE Transactions on Pattern Analysis and Machine Intelligence·J S Lee
Jun 1, 1981·IEEE Transactions on Pattern Analysis and Machine Intelligence·P M Narendra, R C Fitch
Jun 1, 1986·IEEE Transactions on Pattern Analysis and Machine Intelligence·J Canny

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Citations

Aug 26, 2006·Medical & Biological Engineering & Computing·Chung-Chu Leung
Apr 29, 2003·IEEE Transactions on Medical Imaging·Anant Madabhushi, Dimitris N Metaxas
Nov 28, 2013·Ultrasonic Imaging·Chiao LoRuey-Feng Chang

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