NDLI: Image interpolation with adaptive k-nearest neighbours search and random non-linear regression

Content Provider	IET Digital Library
Author	Zheng, Jieying Song, Wanru Wu, Yahong Liu, Feng
Abstract	Learning-based image interpolation methods have been proved to be effective in image interpolation. In this study, the authors propose an accurate image interpolation with adaptive k-nearest neighbour searching and non-linear regression. The proposed method aims to find k-nearest neighbours of the input image patch and use them to learn the non-linear mapping between low-resolution and high-resolution image patches. To be specific, they first divide the training image patches into many subspaces, then they utilise an adaptive robust and precise k nearest neighbour searching scheme with proposed normalised Gaussian similarity to find the k nearest neighbours in the matched subspace. The selected k image patch pairs are then used to learn the non-linear regression model through an extreme learning machine. Furthermore, the proposed interpolation method is a cascade framework that consists of two stages. Stage 2 takes the results of Stage 1 as input to further improve the performance. Extensive experimental results on commonly used test images and image datasets indicate that their proposed algorithm obtains competitive performance against the state-of-the-art methods both in terms of objective evaluation values and the subjective effect of reconstructed images.
Starting Page	1539
Ending Page	1548
Page Count	10
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 8, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1591
Journal	IET Image Processing
Publisher Date	2020-02-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Extreme Learning Machine High-resolution Image Patches Image Datasets Image Interpolation Method Image Patch Pairs Image Reconstruction Image Resolution Input Image Patch Interpolation Interpolation And Function Approximation Knowledge Engineering Technique Nearest Neighbour Method Nearest Neighbour Searching Scheme Nearest Neighbours Search Nonlinear Mapping Nonlinear Regression Model Normalised Gaussian Similarity Numerical Analysis Optical, Image And Video Signal Processing Random Processes Reconstructed Image Regression Analysis Search Problem Statistics Test Image Training Image Patches
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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