当我尝试对RAW数据进行JPEG解压缩(旧式JPEG压缩,不是JPEG-LS而不是JPEG2000)时,出现以下错误:
Traceback (most recent call last):
File "raw-reader.py", line 766, in <module>
raw_image_data = imageio.imread(io.BytesIO(raw_packed_image_data))
File "/home/ian/.local/lib/python3.6/site-packages/imageio/core/functions.py", line 206, in imread
reader = read(uri, format, 'i', **kwargs)
File "/home/ian/.local/lib/python3.6/site-packages/imageio/core/functions.py", line 129, in get_reader
return format.get_reader(request)
File "/home/ian/.local/lib/python3.6/site-packages/imageio/core/format.py", line 168, in get_reader
return self.Reader(self, request)
File "/home/ian/.local/lib/python3.6/site-packages/imageio/core/format.py", line 217, in __init__
self._open(**self.request.kwargs.copy())
File "/home/ian/.local/lib/python3.6/site-packages/imageio/plugins/pillow.py", line 398, in _open
pilmode=pilmode, as_gray=as_gray)
File "/home/ian/.local/lib/python3.6/site-packages/imageio/plugins/pillow.py", line 122, in _open
self._im = factory(self._fp, '')
File "/home/ian/.local/lib/python3.6/site-packages/PIL/JpegImagePlugin.py", line 780, in jpeg_factory
im = JpegImageFile(fp, filename)
File "/home/ian/.local/lib/python3.6/site-packages/PIL/ImageFile.py", line 102, in __init__
self._open()
File "/home/ian/.local/lib/python3.6/site-packages/PIL/JpegImagePlugin.py", line 339, in _open
handler(self, i)
File "/home/ian/.local/lib/python3.6/site-packages/PIL/JpegImagePlugin.py", line 166, in SOF
raise SyntaxError("cannot handle %d-bit layers" % self.bits)
SyntaxError: cannot handle 14-bit layers
图像中的RAW数据是14位JPEG数据,并且imageio无法读取它。当我尝试使用枕头时,它甚至无法将数据识别为JPEG。现在的问题是:如何在不编写自己的JPEG解压缩器的情况下解压缩数据,同时牢记数据是14位?
我的代码:
import io
import imageio
allbytes = open("raw_data.dat", "rb").read()
raw_packed_image_data = allbytes
raw_image_data = imageio.imread(io.BytesIO(raw_packed_image_data))
文件raw_data.dat
是一个仅包含用JPEG压缩的RAW图像数据的文件。链接到raw_data.dat
答案 0 :(得分:1)
raw_data.dat
是一个JPEG Lossless, Nonhierarchical
文件,具有2帧且精度> 8位,这是一种非常罕见的格式。
imagecodecs程序包可以读取文件(假设存在_imagecodecs
Cython扩展名):
>>> from imagecodecs import jpegsof3_decode
>>> data = open('raw_data.dat', 'rb').read()
>>> image = jpegsof3_decode(data)
>>> image.shape
(3528, 2640, 2)
>>> image.dtype
dtype('uint16')
LEADTOOLS SDK也应该能够读取文件(未经测试)。
答案 1 :(得分:0)
我相信可以使用其他库加载图像来解决此问题。类似的基本问题已发布在此处How to combine 3 high range JPEG2000 images into single RGB one?。您可以按照以下方式使用一些东西:
import matplotlib.image as mpimg
img_red = mpimg.imread('raw_data.dat')
然后,您可以使用读取的位图进行进一步操作,就像通过PIL / Pillow / imageio加载它一样。