Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150028
Title: Predictor-corrector image interpolation
Authors: Zhong, Baojiang
Ma, Kai-Kuang
Lu, Zhifang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Zhong, B., Ma, K. & Lu, Z. (2019). Predictor-corrector image interpolation. Journal of Visual Communication and Image Representation, 61, 50-60. https://dx.doi.org/10.1016/j.jvcir.2019.03.018
Journal: Journal of Visual Communication and Image Representation
Abstract: A novel image interpolation methodology is proposed in this paper, called the predictor-corrector interpolation (PCI). Given a low-resolution (LR) image, our PCI scheme begins with the prediction stage, aiming to interpolate the LR-sized input image to a high-resolution (HR) image which is of the same size as the final interpolated image. In the subsequent correction stage, those salient pixels (e.g., edge pixels) of the predicted image are identified and then necessary corrections are made to them for further improving the image quality. To demonstrate the effectiveness of this PCI methodology, the sparse mixing estimator (SME) interpolation is selected as the predictor, and a modified version of the contrast-guided interpolation (CGI) is developed and exploited as the corrector. Hence, the proposed PCI algorithm is denoted as PCI(SME,HR-CGI), which shows a superior performance over a number of comparable state-of-the-art image interpolation algorithms in both objective and subjective image quality assessment.
URI: https://hdl.handle.net/10356/150028
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2019.03.018
Rights: © 2019 Elsevier Inc. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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