How to apply/attach a colormap from an image to another image

[Matteo Niccoli]

First off, thanks Joe

Your code is what I was looking for - AND, it sounds like - the thing to
do, unless one wanted to embark in the kind of regression Matthias suggests.

Second, Stéfan, sorry for the confusion about the rainbowbot, that was an
aside, I happened to post on both of them at the same time, but really the
Jupiter idea was more because I was playing with image size reduction via
conversion to intensity and component reduction via PCA, and was wondering
how one could compare the quality of the result with the input image, but
in color as opposed to in grayscale.

Matthias, I think it would be fun to work together on the rainbowbot idea,
and then to send those 'viridize' tweets. I'll send you an email with some
ideas.

Cheers,
Matteo


On Thu, Jan 28, 2016 at 3:33 PM, Stéfan van der Walt <stefanv at berkeley.edu>
wrote:

>
> On Thu, Jan 28, 2016 at 1:29 PM, Joe Kington <joferkington at gmail.com>
> wrote:
>
>
>> I was the one Matteo mentioned on the slack group.  At first I thought
>> Matteo was referring to exactly what you described: Take a colormapped
>> single-band image and unmap/remap the color palette.
>>
>
> In one of the threads here, I read
>
> """
>
> My idea would be to make it into a web app called 'rainbowbot' which would
> automatically detect bad colormaps either form online images or user
> uploaded images, and then provide them with tools to either equalize the
> colormaps or replace with a perceptual version with same hue range, or.....
>
> It is in here
>
> https://github.com/mycarta/rainbowbot
> I am open to suggestions, and offers to collaborate.
> """
>
> Otherwise, I guess the problem is as simple as:
>
> image = color.rgb2gray(io.imread('image.jpg'))
> plt.imshow(image, cmap='viridis')
>
> If it is about turning false color maps into true color maps, that would
> be hard, given the many mappings out there.
>
> Stéfan
>
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