How can I write 32-bit floating point TIFs with NaNs?

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Kevin Crosby
Kevin Crosby 2011-5-10
评论： Walter Roberson 2019-5-24
I'm able to use IMREAD to read 32-bit floating point TIFs with NaNs for dead pixels.
After this, I do an image rotation with IMTRANSFORM with 'FillValue' of NaN (IMROTATE only fills with zeros).
Now, I'd like to save 32-bit floating point TIFs with NaNs in tact for later.
How can I do this? I've tried IMWRITE and MULTIBANDWRITE, but they don't seem to work.
I'm using MATLAB 7.11.0 (R2010b).
Thanks,
Kevin Crosby

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Walter Roberson
Walter Roberson 2011-5-10
编辑：Walter Roberson 2015-2-27
I suggest using the Tiff class and specifying RGB for the Photometric and specifying 32 bits per channel and writing single precision values.
http://www.mathworks.com/help/matlab/ref/tiff-class.html
This is based upon the assumption that you want the channel values themselves to be NaN, rather than setting the Alpha value to be NaN for the dead pixels.
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Chris Volpe
Chris Volpe 2019-5-24
I've tried this, but it's converting my 32-bit float data to 8 BPP grayscale for some reason. My data is range data, specified in millimeters as a single precision float. I've tried both MinIsBlack and LinearRaw for the Photometric option, but no luck. Any thoughts?
Here's my code:
t = Tiff(fullfile(filepath, [basename '.tif']), 'w');
tagstruct.ImageLength = size(depthImage, 1);
tagstruct.ImageWidth = size(depthImage, 2);
tagstruct.Compression = Tiff.Compression.None;
tagstruct.SampleFormat = Tiff.SampleFormat.IEEEFP;
tagstruct.Photometric = Tiff.Photometric.LinearRaw;
tagstruct.BitsPerSample = 32;
tagstruct.SamplesPerPixel = 1;
tagstruct.PlanarConfiguration = Tiff.PlanarConfiguration.Chunky;
t.setTag(tagstruct);
t.write(single(depthImage));
t.close();

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