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Edge preservation image enlargement and enhancement method based on the adaptive Perona–Malik non-linear diffusion model

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dc.creator Maiseli, Baraka J.
dc.creator Elisha, Ogada Achieng
dc.creator Mei, Jiangyuan
dc.creator Gao, Jiangyuan
dc.date 2019-08-03T18:42:41Z
dc.date 2019-08-03T18:42:41Z
dc.date 2014-12
dc.date.accessioned 2021-05-03T13:17:01Z
dc.date.available 2021-05-03T13:17:01Z
dc.identifier http://hdl.handle.net/20.500.11810/5304
dc.identifier 10.1049/iet-ipr.2014.0040
dc.identifier.uri http://hdl.handle.net/20.500.11810/5304
dc.description In this study, the authors have proposed a new super resolution (SR) model based on the Perona–Malik regularisation scheme. The new model integrates into its regularisation component an adaptive exponential term which automatically adjusts itself depending on the local image features. This lends more sensitivity and adaptability to the proposed model, thereby making the reconstruction process much less punishing against semantically important features. Therefore, regularisation is stronger in homogeneous regions, and weaker in the neighbourhood of boundaries. The proposed method has a promising capability of supressing noise more effectively, while preserving important image features. The approach used differs significantly from the available methods, especially in the manner in which adaptability has been deployed. Noting that SR methods are less sensitive to the local image topography, a factor that causes the super-resolved images to be visually poor, the new method sensitively probes the local features of the image, and determines the necessary level of reconstruction and regularisation. Additionally, the formulation robustly introduces a backward diffusion, a phenomenon proved from literature to have a tendency of sharpening edges. The authors have included empirical reconstruction results to demonstrate that their model produces better images in comparison with other classical methods.
dc.language en_US
dc.publisher IET Image Processing
dc.subject diffusion; image resolution, image enhancement, feature extraction, edge detection, image reconstruction
dc.title Edge preservation image enlargement and enhancement method based on the adaptive Perona–Malik non-linear diffusion model
dc.type Journal Article


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