Ruby-vips image processing library. Are there any good examples of usage?

我怕爱的太早我们不能终老 提交于 2019-12-05 08:47:44

update ruby-vips has changed a bit since this answer was written. I've revised it for the current (2018) version.

I'm one of the maintainers of libvips, the image processing library that ruby-vips wraps.

Tim's ruby-vips repository hasn't been touched for a while. I have a fork here that works with current libvips:

https://github.com/jcupitt/ruby-vips

There are some examples here:

https://github.com/jcupitt/ruby-vips/tree/master/example

To set the red and blue channels to zero and just leave a green image you might multiply R and B by zero and G by 1. ruby-vips uses arrays to represent pixel constants, so you can just write:

out = in * [0, 1, 0]

A complete runnable example might be:

#!/usr/bin/ruby

require 'vips'

im = Vips::Image.new_from_file '/home/john/pics/theo.jpg'
im *= [0, 1, 0]
im.write_to_file 'x.jpg'

There's a trick you can use for new_from_file: if you know you will just be doing simple top-to-bottom operations on the image, like arithmetic or filtering or resize, you can tell ruby-vips that you only need sequential access to pixels:

im = Vips::Image.new_from_file '/home/john/pics/theo.jpg', access: :sequential

Now ruby-vips will stream your image. It'll run the load, the multiply and the save all in parallel and never keep more than a few scanlines of pixels in memory at any one time. This can give a really nice improvement to speed and memory use.

To change image gamma you might try something like:

im = im ** 0.5 * 255 / 255 ** 0.5

Though that'll be a bit slow (it'll call pow() three times for each pixel), it'd be much faster to make a lookup table, run the pow() on that, then map the image through the table:

lut = Vips::Image.identity
lut = lut ** 0.5 * 255 /255 ** 0.5
im = im.maplut lut

Any questions, please feel free to open them on the rubyvips issue tracker:

https://github.com/jcupitt/ruby-vips/issues

I'm sorry I don't know ruby-vips, but ImageMagick is a classic when it comes to image processing. There are Ruby bindings in the form of RMagick (current repo), and you can derive a lot of functionality from the ImageMagick docs, but there are also three tutorials here, as well as a lot of examples on the web.

If you really want to go deep into the theory of image processing, which in its roots is a form of signal processing (this is totally exciting and rewarding as it often allows you to apply very similar algorithms on images and audio/video signals, but it will ultimately get very heavy on math - Fourier transforms), then, if mathematics don't scare you, I can only recommend to read the book by Gonzalez and Woods, I would say it's the definite reference in this field. It's expensive, but there's all you need in there to get you started and well beyond. Here's also a page with links to free ebooks if you would like to get started without spending lots of money first.

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