Edge-guided image gap interpolation using multi-scale transformation

Langari, Bahareh, Vaseghi, Saeed, Prochazka, Ales, Vaziri, Babak and Tahmasebi Aria, Farzad (2016) Edge-guided image gap interpolation using multi-scale transformation. IEEE Transactions on Image Processing, 25 (9) . pp. 4394-4405. ISSN 1057-7149 [Article] (doi:10.1109/TIP.2016.2590825)

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This paper presents improvements in image gap restoration through the incorporation of edge-based directional interpolation within multi-scale pyramid transforms. Two types of image edges are reconstructed: 1) the local edges or textures, inferred from the gradients of the neighboring pixels and 2) the global edges between image objects or segments, inferred using a Canny detector. Through a process of pyramid transformation and downsampling, the image is progressively transformed into a series of reduced size layers until at the pyramid apex the gap size is one sample. At each layer, an edge skeleton image is extracted for edge-guided interpolation. The process is then reversed; from the apex, at each layer, the missing samples are estimated (an iterative method is used in the last stage of upsampling), up-sampled, and combined with the available samples of the next layer. Discrete cosine transform and a family of discrete wavelet transforms are utilized as alternatives for pyramid construction. Evaluations over a range of images, in regular and random loss pattern, at loss rates of up to 40%, demonstrate that the proposed method improves peak-signal-to-noise-ratio by 1–5 dB compared with a range of best-published works.

Item Type: Article
Additional Information: Date of Publication : 13 July 2016
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 20285
Notes on copyright: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Farzad Tahmasebi Aria
Date Deposited: 02 Aug 2016 11:48
Last Modified: 31 Jul 2021 05:08
URI: https://eprints.mdx.ac.uk/id/eprint/20285

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