Guided image filtering using data mining and decomposition

ABSTRACT

Owing to local linear model, guided image filter may contain from ringing artefacts. A modified guided image filter based on data mining techniques and decomposition is proposed in this paper. Image is split into patches, passing through the guided filter, clustered into number of clusters and transformed into compact domain using principal component analysis. Edges are preserved and halo artefacts are removed using detail enhancement based on weighted least square. Simulation results demonstrate the strength of the proposed technique as compared with other techniques especially around the edges where noise and halo artefacts may be present in the image.

KEYWORDS:

• PCA
• k-means clustering
• guided image filter
• decomposition
• detail enhancement
• edge preservation

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Mehwish Iqbal is a Ph.D. student of electrical engineering from National University of Sciences and Technology (NUST), Pakistan. Her research interests include image processing, machine learning, computer vision and neural networks.

M. Mohsin Riaz obtained his Ph.D. degree in electrical engineering from National University of Sciences and Technology (NUST), Pakistan, in 2013. Currently he is Assistant Professor at COMSATS University Islamabad, Pakistan. His research interests include image processing and machine learning.

Abdul Ghafoor received the B.S. degree in electrical engineering from the University of Engineering and Technology, Lahore, Pakistan, in 1994, M.S. degree in electrical engineering from the National University of Sciences and Technology (NUST), Islamabad, Pakistan, in 2003, and the Ph.D degree from the University of Western Australia (UWA) in 2007. His research topics include model/controller order reduction, image processing/matching, through-wall imaging, and cognitive radio. Since 2008, he is with NUST, where he is currently an associate professor.

Syed Sohaib Ali obtained his Ph.D. degree in computer science and engineering from University of Genova (UNIGE), Genova, Italy, in 2017. Currently he is Assistant Professor at COMSATS University Islamabad, Pakistan. His research interests include computer vision, image analysis and machine learning.

Attiq Ahmad obtained his Ph.D. degree in electrical engineering from National University of Sciences and Technology (NUST), Pakistan, in 2016. Currently he is Assistant Professor at NUST. His research interests include Image/Signal processing.