scipy.ndimage.zoom上采样与下采样

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这里写图片描述

插值

Bilinear interpolation would be order=1, nearest is order=0, and cubic is the default (order=3).

举例说明

import numpy as npimport scipy.ndimagex = np.arange(64).reshape(8,8)print 'Original array:'print xprint 'Resampled by a factor of 2 with nearest interpolation:'print scipy.ndimage.zoom(x, 2, order=0)print 'Resampled by a factor of 2 with bilinear interpolation:'print scipy.ndimage.zoom(x, 2, order=1)print 'Resampled by a factor of 2 with cubic interpolation:'print scipy.ndimage.zoom(x, 2, order=3)print 'Downsampled by a factor of 0.5 with default interpolation:'print(scipy.ndimage.zoom(x, 0.5))

结果

Original array:array([[ 0,  1,  2,  3,  4,  5,  6,  7],       [ 8,  9, 10, 11, 12, 13, 14, 15],       [16, 17, 18, 19, 20, 21, 22, 23],       [24, 25, 26, 27, 28, 29, 30, 31],       [32, 33, 34, 35, 36, 37, 38, 39],       [40, 41, 42, 43, 44, 45, 46, 47],       [48, 49, 50, 51, 52, 53, 54, 55],       [56, 57, 58, 59, 60, 61, 62, 63]])Resampled by a factor of 2 with nearest interpolation:[[ 0  0  1  1  2  2  3  3  4  4  5  5  6  6  7  7] [ 0  0  1  1  2  2  3  3  4  4  5  5  6  6  7  7] [ 8  8  9  9 10 10 11 11 12 12 13 13 14 14 15 15] [ 8  8  9  9 10 10 11 11 12 12 13 13 14 14 15 15] [16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23] [16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23] [24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31] [24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31] [32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39] [32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39] [40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47] [40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47] [48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55] [48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55] [56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63] [56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63]]Resampled by a factor of 2 with bilinear interpolation:[[ 0  0  1  1  2  2  3  3  4  4  5  5  6  6  7  7] [ 4  4  5  5  6  6  7  7  7  8  8  9  9 10 10 11] [ 7  8  8  9  9 10 10 11 11 12 12 13 13 14 14 14] [11 12 12 13 13 14 14 14 15 15 16 16 17 17 18 18] [15 15 16 16 17 17 18 18 19 19 20 20 21 21 21 22] [19 19 20 20 21 21 21 22 22 23 23 24 24 25 25 26] [22 23 23 24 24 25 25 26 26 27 27 28 28 28 29 29] [26 27 27 28 28 28 29 29 30 30 31 31 32 32 33 33] [30 30 31 31 32 32 33 33 34 34 35 35 35 36 36 37] [34 34 35 35 35 36 36 37 37 38 38 39 39 40 40 41] [37 38 38 39 39 40 40 41 41 42 42 42 43 43 44 44] [41 42 42 42 43 43 44 44 45 45 46 46 47 47 48 48] [45 45 46 46 47 47 48 48 49 49 49 50 50 51 51 52] [49 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56] [52 53 53 54 54 55 55 56 56 56 57 57 58 58 59 59] [56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63]]Resampled by a factor of 2 with cubic interpolation:[[ 0  0  1  1  2  2  3  3  4  4  5  5  6  6  7  7] [ 2  3  3  4  4  5  5  6  6  7  7  8  8  9  9  9] [ 7  8  8  9  9 10 10 11 11 12 12 12 13 13 14 14] [12 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19] [15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22] [19 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26] [22 23 23 24 24 25 25 26 26 27 27 27 28 28 29 29] [26 26 27 28 28 28 29 29 30 30 31 31 32 32 33 33] [30 30 31 31 32 32 33 33 34 34 35 35 35 36 37 37] [34 34 35 35 36 36 36 37 37 38 38 39 39 40 40 41] [37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 44] [41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48] [44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 51] [49 49 50 50 51 51 51 52 52 53 53 54 54 55 55 56] [54 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61] [56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63]]Downsampled by a factor of 0.5 with default interpolation:[[ 0  2  5  7] [19 21 23 26] [37 40 42 44] [56 58 61 63]]

参考文献

Resampling a numpy array representing an image

机器学习入门必备的13张小抄

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