Open Access Open Access  Restricted Access Subscription or Fee Access

A Hybrid De-Nosing Technique for Multi-noise Removal on Gray Scale Medical Images

Nora Youssef, Abeer M. Mahmoud, EL-Sayed M. EL-Horbaty


Image De-noising is a subfield of image enhancement in general, that it focuses on the removal of any undesired details that corrupts the digital image. Actually, this can be achieved through various filtering techniques, where the variation is compared on a base of enhancement parameters and the keep of sensitive and important details. This paper Propose a novel hybrid de-noising approach that is based on adaptive median filter in the spatial domain followed by wiener filter in the Fourier transform domain for the removal of circular blurredness, Gaussian and impulse additive noises simultaneously. The proposed de-nosing approach is tested on a data set of gray scale medical images or Digital Imaging and Communications in Medicine (DICOM), each of which was corrupted by additive Gaussian noise with variance 0.05 and slat and pepper with probability 0.2. Moreover, the paper analyzes the hybrid de-noising approach in terms of peak signal to noise ratio (PSNR) for image quality assessment. The results showed that the proposed hybrid approach recorded higher PSNR 19.8 dB compared to the standalone adaptive median or wiener filters.


Image De-nosing, Spatial domain, Frequency domain, Wiener filter, Adaptive median filter

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.