Multi-resolution edge-guided image gap restoration

An image gap restoration method is presented based on a combination of a multi-scale pyramid discrete cosine transform (DCT) and edge-guided interpolation of the missing samples. Through a process of pyramid DCT and down-sampling, the image is progressively transformed into a series of reduced size...

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Bibliographic Details
Main Authors: Langari, Bahareh, Vaseghi, Saeed, Pedram, Seyed Kamran
Format: Conference Proceeding
Language:English
Subjects:
Delays
Detectors
edge detection
Error concealment
Extrapolation
Image edge detection
image gap recovery
Interpolation
Manganese
multi-scale DCT pyramid
packet loss concealment
Transforms
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Description
Summary:An image gap restoration method is presented based on a combination of a multi-scale pyramid discrete cosine transform (DCT) and edge-guided interpolation of the missing samples. Through a process of pyramid DCT and down-sampling, the image is progressively transformed into a series of reduced size layers until at the apex of the pyramid the gap size is reduced to one sample. The process is then reversed; at each stage, the missing samples are estimated, up-sampled and combined with the available neighbouring samples. The main contributions of this work are the incorporation, within the DCT pyramid layers, of a directional interpolation method using the local edges or textures and a global edge-guided interpolation method based on the Sobel edge detector. Evaluations over a range of images demonstrate that the proposed method results is improved PSNR compared to a range of published works.
ISSN:2162-7843
DOI:10.1109/ISSPIT.2013.6781910