opencv中的resize函数实现图像插值缩放

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我是靠谱客的博主清秀枕头，最近开发中收集的这篇文章主要介绍opencv中的resize函数实现图像插值缩放，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

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python 为例

一. 函数原型

dst=cv.resize(src, dsize[, dst[, fx[, fy[, interpolation]]]])

参数含义：

src：input image.

dst：output image; it has the size dsize (when it is non-zero) or the size computed from src.size(), fx, and fy; the type of dst is the same as of src.

dsize：output image size; if it equals zero, it is computed as:

dsize = Size(round(fx*src.cols), round(fy*src.rows))

Either dsize or both fx and fy must be non-zero.

fx ：scale factor along the horizontal axis; when it equals 0, it is computed as

(double)dsize.width/src.cols

fy ：scale factor along the vertical axis; when it equals 0, it is computed as

(double)dsize.height/src.rows

interpolation：interpolation method, see InterpolationFlags

三种插值方法的 interpolation 参数

二. 实验代码：

import cv2
import numpy as np 

# 读入灰度图像
im_path='../paojie_g.jpg'
img = cv2.imread(im_path,0)
# 注意应该先写宽度img.shape[1]*2,再写高度img.shape[0]*2
NN_interpolation = cv2.resize(img,(img.shape[1]*2,img.shape[0]*2),interpolation=cv2.INTER_NEAREST)
BiLinear_interpolation =  cv2.resize(img,(img.shape[1]*2,img.shape[0]*2),interpolation=cv2.INTER_LINEAR)
BiCubic_interpolation = cv2.resize(img,(img.shape[1]*2,img.shape[0]*2),interpolation=cv2.INTER_CUBIC)

cv2.imshow('NN_interpolation',NN_interpolation)
cv2.imwrite('NN_interpolation.jpg',NN_interpolation)
cv2.imshow('BiLinear_interpolation',BiLinear_interpolation)
cv2.imwrite('BiLinear_interpolation.jpg',BiLinear_interpolation)
cv2.imshow('BiCubic_interpolation',BiCubic_interpolation)
cv2.imwrite('BiCubic_interpolation.jpg',BiCubic_interpolation)
cv2.waitKey(0)
cv2.destroyAllWindows()

三. 实验结果：