双线性插值算法python
时间: 2023-08-12 07:06:23 浏览: 67
双线性插值算法的Python实现如下:
```python
from PIL import Image
import numpy as np
import math
def BiLinear_interpolation(img, dstH, dstW):
scrH, scrW, _ = img.shape
img = np.pad(img, ((0, 1), (0, 1), (0, 0)), 'constant')
retimg = np.zeros((dstH, dstW, 3), dtype=np.uint8)
for i in range(dstH):
for j in range(dstW):
scrx = (i + 1) * (scrH / dstH) - 1
scry = (j + 1) * (scrW / dstW) - 1
x = math.floor(scrx)
y = math.floor(scry)
u = scrx - x
v = scry - y
retimg\[i, j\] = (1 - u) * (1 - v) * img\[x, y\] + u * (1 - v) * img\[x + 1, y\] + (1 - u) * v * img\[x, y + 1\] + u * v * img\[x + 1, y + 1\]
return retimg
im_path = 'wave.jpg'
image = np.array(Image.open(im_path))
image2 = BiLinear_interpolation(image, image.shape\[0\] * 2, image.shape\[1\] * 2)
image2 = Image.fromarray(image2.astype('uint8')).convert('RGB')
image2.save('out.jpg')
```
这段代码使用了PIL库和numpy库,首先读取了一张图片,然后调用了`BiLinear_interpolation`函数进行双线性插值算法的处理。该函数接受原始图像、目标图像的高度和宽度作为参数,返回处理后的图像。最后,将处理后的图像保存为`out.jpg`。
#### 引用[.reference_title]
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