Journal ArticleDOI
Computational foundations of image interpolation algorithms
AcharyaTinku,TsaiPing-Sing +1 more
TLDR
Image interpolation is an important image processing operation applied in diverse areas ranging from computer graphics, rendering, editing, medical image reconstruction, to online image viewing.Abstract:
Image interpolation is an important image processing operation applied in diverse areas ranging from computer graphics, rendering, editing, medical image reconstruction, to online image viewing. Im...read more
Citations
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Journal ArticleDOI
A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system
TL;DR: A detailed survey of machine learning algorithms for detecting malware in business information systems powered by the Internet of Things can be found in this article , where a variety of attack mitigation approaches for detecting harmful malware embedded in an Android application operating on an IoT device.
Journal ArticleDOI
Multi-kernel based adaptive interpolation for image super-resolution
TL;DR: Experimental results and analysis show that proposed scheme provides a good combination of visual quality and time complexity, and is as low as that of classical linear interpolation techniques.
Journal ArticleDOI
Digital image super-resolution using adaptive interpolation based on Gaussian function
TL;DR: Extensive experimental comparisons with state-of-the-art zooming schemes validate the claim of the proposed technique of being superior, which produces high quality at the cost of low time complexity.
Proceedings ArticleDOI
A low complex context adaptive image interpolation algorithm for real-time applications
TL;DR: This work has presented different set of fixed predictors for both smooth type and edgy type of images and proposed a modified algorithm in which selection of prediction parameter is done on block by block basis instead of image basis.
Journal ArticleDOI
Spatial Disaggregation of Historical Census Data Leveraging Multiple Sources of Ancillary Information
TL;DR: This article reports on experiments with a hybrid spatial disaggregation technique that combines the ideas of dasymetric mapping and pycnophylactic interpolation, using modern machine learning methods to combine different types of ancillary variables, in order to disaggregate historical census data into a 200 m resolution grid.
References
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Journal ArticleDOI
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Journal ArticleDOI
New edge-directed interpolation
Xin Li,Michael T. Orchard +1 more
TL;DR: Simulation results demonstrate that the new interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional linear interpolation.
Journal ArticleDOI
Survey: interpolation methods in medical image processing
TL;DR: The goal of this study was to present a comprehensive catalogue of methods in a uniform terminology, to define general properties and requirements of local techniques, and to enable the reader to select that method which is optimal for his specific application in medical imaging.
Journal ArticleDOI
Cubic splines for image interpolation and digital filtering
Hsieh Hou,H. Andrews +1 more
TL;DR: Applications to image and signal processing include interpolation, smoothing, filtering, enlargement, and reduction, and experimental results are presented for illustrative purposes in two-dimensional image format.
Journal ArticleDOI
Comparison of Interpolating Methods for Image Resampling
TL;DR: In this paper, the authors compared the performance of linear and cubic B-spline interpolation, linear interpolation and high-resolution cubic spline with edge enhancement with respect to the initial coordinate system.