X-Ray Image Enhancement Using a Boundary Division Wiener Filter and Wavelet-Based Image Fusion Approach

Sajid Ullah Khan, Wang Yin Chai, Chai Soo See and Amjad Khan
Volume: 12, No: 1, Page: 35 ~ 45, Year: 2016
10.3745/JIPS.02.0029
Keywords: Image Enhancement, Image Fusion, Poisson/Impulse Noise, Sharpening, Wavelet Transform
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Abstract
To resolve the problems of Poisson/impulse noise, blurriness, and sharpness in degraded X-ray images, a novel and efficient enhancement algorithm based on X-ray image fusion using a discrete wavelet transform is proposed in this paper. The proposed algorithm consists of two basics. First, it applies the techniques of boundary division to detect Poisson and impulse noise corrupted pixels and then uses the Wiener filter approach to restore those corrupted pixels. Second, it applies the sharpening technique to the same degraded X-ray image. Thus, it has two source X-ray images, which individually preserve the enhancement effects. The details and approximations of these sources X-ray images are fused via different fusion rules in the wavelet domain. The results of the experiment show that the proposed algorithm successfully combines the merits of the Wiener filter and sharpening and achieves a significant proficiency in the enhancement of degraded X-ray images exhibiting Poisson noise, blurriness, and edge details.

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Cite this article
IEEE Style
Sajid Ullah Khan, Wang Yin Chai, Chai Soo See, and Amjad Khan, "X-Ray Image Enhancement Using a Boundary Division Wiener Filter and Wavelet-Based Image Fusion Approach," Journal of Information Processing Systems, vol. 12, no. 1, pp. 35~45, 2016. DOI: 10.3745/JIPS.02.0029.

ACM Style
Sajid Ullah Khan, Wang Yin Chai, Chai Soo See, and Amjad Khan, "X-Ray Image Enhancement Using a Boundary Division Wiener Filter and Wavelet-Based Image Fusion Approach," Journal of Information Processing Systems, 12, 1, (2016), 35~45. DOI: 10.3745/JIPS.02.0029.