2016
DOI: 10.1016/j.taml.2016.04.003
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Performance of global look-up table strategy in digital image correlation with cubic B-spline interpolation and bicubic interpolation

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Cited by 25 publications
(13 citation statements)
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“…Interpolation algorithms are rapidly developed and applied in fundamental fields of image processing such as image correlation [10], medical image processing [11], detection and estimation [12], and edge interpolation [13]. Bicubic interpolation generates smoother than the other corresponding interpolation algorithms such as bilinear and nearest-neighbor.…”
Section: Bicubic Interpolationmentioning
confidence: 99%
“…Interpolation algorithms are rapidly developed and applied in fundamental fields of image processing such as image correlation [10], medical image processing [11], detection and estimation [12], and edge interpolation [13]. Bicubic interpolation generates smoother than the other corresponding interpolation algorithms such as bilinear and nearest-neighbor.…”
Section: Bicubic Interpolationmentioning
confidence: 99%
“…The works of the authors [5][6][7][8][9][10][11][12][13] are devoted to the study of various signal constructions, in which methods are proposed for studying the characteristics of signals in the time-frequency domain, which make it possible to use them for existing signals. One of the methods for studying the characteristics of the signals proposed in [5] is the use of cross-correlation and autocorrelation functions, which allow us to estimate the efficiency of spectrum use.…”
Section: Introductionmentioning
confidence: 99%
“…The work [7] is devoted to the study of the channel performance extremum, in which the extremum is in accordance with the error probability criterion. The authors used spline functions in works [8][9][10][11][12][13][14][15][16][17][18], that can significantly improve the interpolation accuracy, while simplifying the procedure for mathematical calculations. Today it is difficult or even impossible to specify such a class of problems where the spline-interpolation methods would not find practical application.…”
Section: Introductionmentioning
confidence: 99%
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“…The IC-GN algorithm [7], mathematically equivalent to the classic forward additive Newton-Raphson (FA-NR) algorithm [8], uses a smart alignment strategy during the iterative procedure, which makes it 3-5 times faster than the FA-NR algorithm [6], while keeping the high accuracy and resistance to noise [9][10][11]. In addition, the application of the precomputed global look-up table of interpolation coefficients [12,13] eliminates the repetitive calculation during the construction of the warped target subset in iterations and leads to a speed-up of another several times. Nevertheless, the iterative subpixel DIC with the aforementioned improvements achieves a speed of only thousands of points of interest per second (POI/s) [14,15], which is still far below the expectation.…”
Section: Introductionmentioning
confidence: 99%