Scipy生成16位的深度图

hjliu_happy

于 2020-09-30 20:53:00 发布

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分类专栏：图像处理专栏文章标签： scipy

本文链接：https://blog.youkuaiyun.com/hjliu_happy/article/details/108890131

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这篇博客介绍了如何使用numpy和scipy库生成一个16位深度图，并将其保存为PNG文件。通过scipy.misc.toimage函数，可以将随机生成的整数数组转换为16位图像，同时确保数据范围正确，避免值溢出。保存的PNG图像能够准确还原原始数据，并在读取时保持数据类型为int32。

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生成16位的深度图（点云投影）

With scipy.misc.image there seems to be no option to save as 16-bit, so it will always write an 8-bit PNG. But you can use scipy.misc.toimage to create a 16-bit image, just be sure to pass mode=‘I’. Also be sure to specify the array min and max to avoid scaling. Here’s how to use it to save a 16-bit png:

import numpy as np
import scipy.misc
a = np.random.uniform(0, 2**16 - 1, (500, 500)).astype('int32')
img = scipy.misc.toimage(a, high=np.max(a), low=np.min(a), mode='I')
img.save('my16bit.png')
``

```python
# check that you got the same values
b = scipy.misc.imread('my16bit.png')
b.dtype
# dtype('int32')
np.array_equal(a, b)
# True

Note that in this example I used int32 for data type. However, the data must still fit in a uint16. If you put negative values or values larger than 2^16, those will be clipped in the save to PNG. Conversely, even though sp.misc.imread reads as int32, the data will never be more than uint16.

In summary: if you want to write exactly the same numpy array to a PNG you need to make sure it is of uint8/uint16 type, and that you pass the correct high/low/mode to scipy.misc.toimage.