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

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Kevin Crosby 2011-5-10

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评论： Walter Roberson 2019-5-24

采纳的回答： Walter Roberson

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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Answer 1

Walter Roberson 2011-5-10

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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 2019-5-24

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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();