Predictor-corrector image interpolation

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 sa...

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Main Authors: Zhong, Baojiang, Ma, Kai-Kuang, Lu, Zhifang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/150028
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1500282021-05-31T02:53:46Z Predictor-corrector image interpolation Zhong, Baojiang Ma, Kai-Kuang Lu, Zhifang School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Image Interpolation Predictor-corrector 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. 2021-05-31T02:53:46Z 2021-05-31T02:53:46Z 2019 Journal Article 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 1047-3203 0000-0002-9899-524X https://hdl.handle.net/10356/150028 10.1016/j.jvcir.2019.03.018 2-s2.0-85063135546 61 50 60 en Journal of Visual Communication and Image Representation © 2019 Elsevier Inc. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Image Interpolation
Predictor-corrector
spellingShingle Engineering::Electrical and electronic engineering
Image Interpolation
Predictor-corrector
Zhong, Baojiang
Ma, Kai-Kuang
Lu, Zhifang
Predictor-corrector image interpolation
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhong, Baojiang
Ma, Kai-Kuang
Lu, Zhifang
format Article
author Zhong, Baojiang
Ma, Kai-Kuang
Lu, Zhifang
author_sort Zhong, Baojiang
title Predictor-corrector image interpolation
title_short Predictor-corrector image interpolation
title_full Predictor-corrector image interpolation
title_fullStr Predictor-corrector image interpolation
title_full_unstemmed Predictor-corrector image interpolation
title_sort predictor-corrector image interpolation
publishDate 2021
url https://hdl.handle.net/10356/150028
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