Title:	A NOVEL EDGE-PRESERVING FILTER FOR MEDICAL IMAGE ENHANCEMENT
Author(s):	Tzong-Jer Chen, Sixian Niu, Chengde Lin and Ronghui Lu
ISBN:	978-989-8533-66-1
Editors:	Yingcai Xiao and Ajith P. Abraham
Year:	2017
Edition:	Single
Keywords:	Image enhancement, un-sharp masking, Moran statistics, adaptive filter, PET
Type:	Short Paper
First Page:	279
Last Page:	284
Language:	English
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Paper Abstract:	This paper presents a new approach for image enhancement. Traditional filters are usually employed to suppress the noise, but often lead to a blurred or enhanced edge that enforces noise. An edge-preserving algorithm for digital images based on spatial autocorrelation is proposed. The spatial statistical calculation is used as a threshold for adaptive filtering. Two synthetic images with various pixel values and Gaussian noise were produced for verification. The SNR of both noisy synthetic images are significantly raised. The PET images of various numbers of iterations using the proposed scheme are clearer than those using the non-adaptive average filter. The algorithm visual processing is good but more forward research is required.
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