ImageMagick – Multispectral Imagery
Description: ImageMagick is a powerful, open-source software suite for creating, editing, converting, and manipulating images in over 200 formats. Ideal for web developers, graphic designers, and researchers, it offers versatile tools for image processing, including batch processing, format conversion, and complex image transformations.
Keywords: Multispectral Imagery, Image Processing, Digital Image Editing, Image Conversion, Open-Source Software, Image Manipulation, Command-Line Image Tools

Multispectral imagery refers to images that are captured using multiple bands of the electromagnetic spectrum, beyond just the visible light spectrum. This means that they capture data across a wider range of wavelengths, from ultraviolet to infrared.

By capturing data across multiple spectral bands, multispectral imagery can provide additional information about the objects or scenes being imaged, such as their composition, temperature, and vegetation health. This information can be used for a wide range of applications, including agriculture, environmental monitoring, disaster response, and military surveillance.

Multispectral imagery is often captured using specialized sensors on satellites, drones, or aircraft. The data is then processed using specialized software to create images that display the information captured in each spectral band.

Overall, multispectral imagery provides a powerful tool for analyzing and understanding the world around us, allowing us to gain insights that would be impossible to obtain using visible light imagery alone.

#### Multispectral Support in ImageMagick

ImageMagick supports multispectral images where all channels have the same dimensions and number of pixels as the original image. However, not all image formats support multispectral images. PSD, TIFF, MIFF, MPC, and FTXT have full support for multispectral images up to 31 bands with 21 meta channels. If you build ImageMagick with the configure script `--enable-64bit-channel-masks` option, you can process 62 band multispectral images with up to 52 meta channels.

We call image channels beyond the standard RGB(A) or CMYK(A) channels, "meta" channels. We label them as "meta", "meta1", "meta2", etc.. Meta channels are treated the same as any other channel meaning they can be read, written, and operated upon-- e.g., resized, gamma adjusted, etc.

##### Create a Multispectral Image

Begin with a multispectral image, typically in the TIFF or PSD format. If you don't have one, you can create your own. In our example, we create a single CMYK pixel with two meta channels. Stuff this in a file titled `multiMeta.txt`:

    0,0: 10,20,30,40,50,60

Let's convert that to the TIFF image format:

    $ magick -size 1x1 -colorspace CMYK -define ftxt:format="\x,\y:\c\n" -define ftxt:hasalpha=false -define ftxt:nummeta=2 ftxt:multiMeta.txt multiMeta.tif

Let confirm that worked as expected:

    $ identify -verbose multiMeta.tif
    Image:
      Filename: multiMeta.tif
      Permissions: rw-------
      Format: TIFF (Tagged Image File Format)
      Mime type: images/tiff
      Class: DirectClass
      Geometry: 1x1+0+0
      Units: PixelsPerInch
      Colorspace: CMYK
      Type: ColorSeparation
      Endianness: LSB
      Depth: 16-bit
      Channels: 6.2
      Channel depth:
        Cyan: 16-bit
        Magenta: 16-bit
        Yellow: 16-bit
        Black: 16-bit
        Meta channel[0]: 16-bit
        Meta channel[1]: 16-bit
      Channel statistics:
        Pixels: 1
        Cyan:
          min: 10  (0.00015259)
          max: 10 (0.00015259)
          mean: 10 (0.00015259)
          median: 10 (0.00015259)
          standard deviation: 0 (0)
          kurtosis: -3
          skewness: 0
          entropy: 0
        Magenta:
          min: 20  (0.00030518)
          max: 20 (0.00030518)
          mean: 20 (0.00030518)
          median: 20 (0.00030518)
          standard deviation: 0 (0)
          kurtosis: -3
          skewness: 0
          entropy: 0
        Yellow:
          min: 30  (0.000457771)
          max: 30 (0.000457771)
          mean: 30 (0.000457771)
          median: 30 (0.000457771)
          standard deviation: 0 (0)
          kurtosis: -3
          skewness: 0
          entropy: 0
        Black:
          min: 40  (0.000610361)
          max: 40 (0.000610361)
          mean: 40 (0.000610361)
          median: 40 (0.000610361)
          standard deviation: 0 (0)
          kurtosis: -3
          skewness: 0
          entropy: 0
        Meta channel[0]:
          min: 50  (0.000762951)
          max: 50 (0.000762951)
          mean: 50 (0.000762951)
          median: 50 (0.000762951)
          standard deviation: 0 (0)
          kurtosis: -3
          skewness: 0
          entropy: 0
        Meta channel[1]:
          min: 60  (0.000915541)
          max: 60 (0.000915541)
          mean: 60 (0.000915541)
          median: 60 (0.000915541)
          standard deviation: 0 (0)
          kurtosis: -3
          skewness: 0
          entropy: 0
      Image statistics:
        Overall:
          min: 10  (0.00015259)
          max: 60 (0.000915541)
          mean: 35 (0.000534066)
          median: 35 (0.000534066)
          standard deviation: 0 (0)
          kurtosis: -1.79762
          skewness: 4.44476e-15
          entropy: 0
      Total ink density: 0.15259%
      Colors: 1
      Histogram:
                 1: (10,20,30,40) #000A0014001E0028 cmyk(0.0389105,0.077821,0.116732,0.155642)
      Rendering intent: Perceptual
      Gamma: 0.454545
      Chromaticity:
        red primary: (0.64,0.33)
        green primary: (0.3,0.6)
        blue primary: (0.15,0.06)
        white point: (0.3127,0.329)
      Matte color: grey74
      Background color: white
      Border color: srgb(223,223,223)
      Transparent color: black
      Interlace: None
      Intensity: Undefined
      Compose: Over
      Page geometry: 1x1+0+0
      Dispose: Undefined
      Iterations: 0
      Compression: None
      Orientation: TopLeft
      Properties:
        date:create: 2023-03-12T11:38:42+00:00
        date:modify: 2023-03-12T11:38:42+00:00
        date:timestamp: 2023-03-12T11:38:56+00:00
        signature: c51848f16d296f7c95be14404cc582f49db6fd33f31b544a2ce10e440b3747b3
        tiff:alpha: unspecified
        tiff:endian: lsb
        tiff:photometric: separated
        tiff:rows-per-strip: 1
      Artifacts:
        verbose: true
      Tainted: False
      Filesize: 306B
      Number pixels: 1

Notice the channel depth and statistics associated with the two meta channels.

##### Working with Multispectral Images

Meta channels are treated the same as any other channel meaning they can be read, written, and operated upon-- e.g., resized, gamma adjusted, etc.. Here, we replace the first channel with the contents of the meta channel:

    magick multiMeta.tif -channel-fx 'meta1=>cyan' multiMeta-1.tif

The original cyan channel has an intensity of 10. It's now, per the channel FX instructions, 50.

And in this example, we create two meta channels:

    magick lena.png \( mandril3.jpg -colorspace gray \) -channel-fx '| gray=>meta' \( zelda1.jpg -colorspace gray \) -channel-fx '| gray=>meta1' meta.tif

In this example, we blend two meta channels into a single alpha channel:

    magick in.tiff -alpha opaque \( +clone -set colorspace sRGB -channel-fx "meta0=>red meta1=>green" \) -channel A -fx "(v.r+v.g)/2" +channel out.tiff

##### Writing Multispectral Images

You can preserve multispectral images by writing them to a format that supports meta channels such as TIFF or PSD. If you write to other image formats that do not support multisprectal images, the channels are not preserved and instead lost-- e.g., PNG. In this example, we read, resize, and write a multispectral image:

    magick multiMeta.tif -resize 50% resizedMeta.tif