Results 31 to 40 of about 11,065 (211)
Linear Methods for Image Interpolation
Image Processing On Line, 2011 We discuss linear methods for interpolation, including nearest neighbor, bilinear, bicubic, splines, and sinc interpolation. We focus on separable interpolation, so most of what is said applies to one-dimensional interpolation as well as N-dimensional ...
Pascal Getreuer
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Comparison of interpolation methods for raster images scaling [PDF]
Научно-технический вестник Брянского государственного университета, 2017 The article is devoted to the problem of efficient scaling of raster images. We consider some negative effects, related with scaling of raster images. Besides, we consider an analysis of several methods that are used to increase sizes of ras-ter images ...
Trubakov A.O., Seleykovich M.O.
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Theoretical and Applied Mechanics Letters, 2016 Global look-up table strategy proposed recently has been proven to be an efficient method to accelerate the interpolation, which is the most time-consuming part in the iterative sub-pixel digital image correlation (DIC) algorithms.
Zhiwei Pan +5 more
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Single image super resolution based on multi-scale structure and non-local smoothing
EURASIP Journal on Image and Video Processing, 2021 In this paper, we propose a hybrid super-resolution method by combining global and local dictionary training in the sparse domain. In order to present and differentiate the feature mapping in different scales, a global dictionary set is trained in ...
Wenyi Wang +4 more
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FRESH – FRI-based single-image super-resolution algorithm [PDF]
, 2016 In this paper, we consider the problem of single image super-resolution and propose a novel algorithm that outperforms state-of-the-art methods without the need of learning patches pairs from external data sets.
Dragotti, P, Wei, X
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Spurious PIV Vector Correction Using Linear Stochastic Estimation
Fluids, 2019 Techniques for the experimental determination of velocity fields such as particle image velocimetry (PIV) can often be hampered by spurious vectors or sparse regions of measurement which may occur due to a number of reasons.
Daniel Butcher, Adrian Spencer
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Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks [PDF]
, 2018 Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusing, post-capture aperture control, and depth estimation from a single shot.
Gul, M. Shahzeb Khan +1 more
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Image Interpolation Based on Spiking Neural Network Model
Applied Sciences, 2023 Image interpolation is used in many areas of image processing. It is seen that many techniques developed to date have been successful in both protecting edges and increasing image quality.
Mürsel Ozan İncetaş
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Image Interpolation Using a Rational Bi-Cubic Ball
Mathematics, 2019 : This study deals with the application of new rational bi-cubic Ball function with six parameters in image interpolation, especially for the grayscale image.
Nur Atiqah Binti Zulkifli +5 more
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Image Interpolation with Regional Gradient Estimation
Applied Sciences, 2022 This paper proposes an image interpolation method with regional gradient estimation (GEI) to solve the problem of the nonlinear interpolation method not sufficiently considering non-edge pixels. First, the approach presented in this paper expanded on the
Zuhang Jia, Qingjiu Huang
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