Why do we transfer the image into double?

I saw a lot of image processing examples and before conducting any analysis the image is transfered into double. Is it essential? and what is the benefit from doing so?

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Image Analyst
Image Analyst el 5 de Abr. de 2020

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No, it's usually not. But sometimes it is, like if you want to use conv2(). It has to do with how MATLAB likes to multiply variables of different classes.

2 comentarios

Muhamed Sewidan
Muhamed Sewidan el 5 de Abr. de 2020
Could you please give me some cases in which I should transfer the image into double before carrying out any processes?
Image Analyst
Image Analyst el 5 de Abr. de 2020
Other than conv2(), I can't think of any off the top of my head. But you obviously must have had some cases in mind because you're the one who brought up the question. Care to share those cases?

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Más respuestas (1)

Paul Hoffrichter
Paul Hoffrichter el 4 de Dic. de 2020
MATLAB when using mixed mode arithmetic, will try to save memory.
250 + 10 = 260, right?
>> x =double(250) + uint8(10);
>> x
x =
uint8
255
In other languages, like C/C++, the rule is to maximize precision. Avoid mixed mode arithmetic unless you need it. There is no error or warning provided, by default, in the above code.

4 comentarios

Muhamed Sewidan
Muhamed Sewidan el 4 de Dic. de 2020
in the normal case, all the data (like numbers) are stored in double or uint8?
Paul Hoffrichter
Paul Hoffrichter el 4 de Dic. de 2020
Normally, data in MATLAB defaults to double unless specified by a function to be otherwise.
When using imread, it is usual to get a integer type, but not necessarily, uint8. Here you also see uint16, and others.
In fact, I see that TIFF can be returned as single floating point number:
"imread reads and converts TIFF images as follows:
  • YCbCr images are converted into the RGB colorspace.
  • All grayscale images are read as if black = 0, white = largest value.
  • 1-bit images are returned as class logical.
  • 16-bit floating-point images are returned as class single."
Muhamed Sewidan
Muhamed Sewidan el 4 de Dic. de 2020
thank you
Paul Hoffrichter
Paul Hoffrichter el 4 de Dic. de 2020
Glad to help.

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