NDLI: A new switching median filter for digital radiography

Content Provider	IEEE Xplore Digital Library
Author	Frosio, I. Borghese, N.A.
Copyright Year	2004
Description	Author affiliation: Comput. Sci. Dept., Milan Univ., Italy (Frosio, I.; Borghese, N.A.)
Abstract	Localized hardware failures on sensor and communication channel often introduce in digital radiographies a characteristic impulsive noise, known as "salt & pepper". Eliminating these failures, which generate the corrupted pixels, is a very costly or even impossible task; therefore, image processing techniques have been developed to correct the gray level values of these pixels. We propose here a new switching median filter for digital radiography, which has been inspired by the properties of the human visual system: a pulse is detected on the radiography by measuring its visibility in terms of local contrast and signal to noise ratio. The local background value is estimated applying a 3/spl times/3 median filter to the image, and noise distribution is evaluated by means of a simple and reliable model, which describes the properties of the digital sensor and incorporates the statistical characteristic of the noise. Since the filter requires no iteration, it can work in real time also on large images (less than 0.7s for 12 bit, 4.8 MPixel images). The presence of edges does not affect the pulse detection and correction, thus resulting in a more efficient approach with regards to more traditional methods. Some residual pulse may remain visible only in the darkest zones of the radiography, which are usually poor of diagnostic information.
Starting Page	3604
Ending Page	3606
File Size	831651
Page Count	3
File Format	PDF
ISBN	0780387007
ISSN	10823654
e-ISBN	0780387015
DOI	10.1109/NSSMIC.2004.1466663
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Digital filters Radiography Sensor phenomena and characterization Pixel Pulse measurements Background noise Image edge detection Communication switching Hardware Communication channels
Content Type	Text
Resource Type	Article

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