Grayscale to Red-Green-Blue (MATLAB Jet) color scale

Question

I was given a data set that is essentially an image, however each pixel in the image is represented as a value from -1 to 1 inclusive. I am writing an application that needs to take these -1 to 1 grayscale values and map them to the associated RGB value for the MATLAB "Jet" color scale (red-green-blue color gradient).

I am curious if anyone knows how to take a linear value (like -1 to 1) and map it to this scale. Note that I am not actually using MATLAB for this (nor can I), I just need to take the grayscale value and put it on the Jet gradient.

Thanks, Adam

Answer 1

Consider the following function (written by Paul Bourke -- search for Colour Ramping for Data Visualisation):

/*    Return a RGB colour value given a scalar v in the range [vmin,vmax]    In this case each colour component ranges from 0 (no contribution) to    1 (fully saturated), modifications for other ranges is trivial.    The colour is clipped at the end of the scales if v is outside    the range [vmin,vmax] */  typedef struct {     double r,g,b; } COLOUR;  COLOUR GetColour(double v,double vmin,double vmax) {    COLOUR c = {1.0,1.0,1.0}; // white    double dv;     if (v < vmin)       v = vmin;    if (v > vmax)       v = vmax;    dv = vmax - vmin;     if (v < (vmin + 0.25 * dv)) {       c.r = 0;       c.g = 4 * (v - vmin) / dv;    } else if (v < (vmin + 0.5 * dv)) {       c.r = 0;       c.b = 1 + 4 * (vmin + 0.25 * dv - v) / dv;    } else if (v < (vmin + 0.75 * dv)) {       c.r = 4 * (v - vmin - 0.5 * dv) / dv;       c.b = 0;    } else {       c.g = 1 + 4 * (vmin + 0.75 * dv - v) / dv;       c.b = 0;    }     return(c); } 

Which, in your case, you would use it to map values in the range [-1,1] to colors as (it is straightforward to translate it from C code to a MATLAB function):

c = GetColour(v,-1.0,1.0); 

This produces to the following "hot-to-cold" color ramp:

It basically represents a walk on the edges of the RGB color cube from blue to red (passing by cyan, green, yellow), and interpolating the values along this path.

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Note this is slightly different from the "Jet" colormap used in MATLAB, which as far as I can tell, goes through the following path:

#00007F: dark blue #0000FF: blue #007FFF: azure #00FFFF: cyan #7FFF7F: light green #FFFF00: yellow #FF7F00: orange #FF0000: red #7F0000: dark red 

Here is a comparison I did in MATLAB:

%# values num = 64; v = linspace(-1,1,num);  %# colormaps clr1 = jet(num); clr2 = zeros(num,3); for i=1:num     clr2(i,:) = GetColour(v(i), v(1), v(end)); end 

Then we plot both using:

figure subplot(4,1,1), imagesc(v), colormap(clr), axis off subplot(4,1,2:4), h = plot(v,clr); axis tight set(h, {'Color'},{'r';'g';'b'}, 'LineWidth',3) 

Now you can modify the C code above, and use the suggested stop points to achieve something similar to jet colormap (they all use linear interpolation over the R,G,B channels as you can see from the above plots)...