PMKMP Returns perceptually balanced colormaps
PMKMP(N,SCHEME) returns an Nx3 colormap.
%% Example1: 128-color rainbow with cubic-law luminance (default)
%% Example2: 128-color palette for azimuthal data
b = repmat(a,[46 1]);
JUSTIFICATION: rainbow, or spectrum color schemes are considered a poor choice for scientific data display by many in the scientific community (see for example reference 1 and 2 in the help) in that they introduce artefacts that mislead the viewer. "The rainbow color map appears as if it is separated into bands of almost constant hue, with sharp transitions between hues. Viewers perceive these sharp transitions as sharp transitions in the data, even when this is not the casein how regularly spaced (interval) data are displayed (quoted from reference 1). This submission is intended to share the results of my efforts to create more perceptually balanced color maps. Please see output arguments section for descriptions.
See files examples.m, examples1.m, and example2.m and associated figures for more examples
See files MakeLabPlotUsingColorspace.m and CompareLabPlotsUsingColorspace.m for some demonstrations.
See also: JET, HSV, GRAY, HOT, COOL, BONE, COPPER, PINK, FLAG, PRISM, COLORMAP, RGBPLOT
Extensive reference list and list of other FEX submissions of interest included in the help
Please visit my blog to read about the background research:
Author: Matteo Niccoli
e-mail address: email@example.com
Release date: November 2014
Matteo Niccoli (2021). Perceptually improved colormaps (https://www.mathworks.com/matlabcentral/fileexchange/28982-perceptually-improved-colormaps), MATLAB Central File Exchange. Retrieved .
great job. The color schemes similar to that of the commercial software.
Been using this in my publications for some time now ... wonderful set of colormaps!
HI MArtin. Thanks for the positive feedback. As for the error message, you are the first person to report it for pmkmp. Perhaps the 2007 release did not have these functions? It looks like others have encountered the problem and reported it elsewhere: http://www.nitrc.org/forum/forum.php?thread_id=3703&forum_id=3259
Very nice colormap. Thank you for the detailed info and references. When trying to use the code in matlab 2007 (Windows 7),I received the following error msg:
"Undefined function or method 'narginchk' for input arguments of type 'double'.
Error in ==> pmkmp at 332
It is interesting that I didn't see any of that when running it in matlab 2014b (in ubuntu) though. After commenting the lines corresponding to :
"narginchk" and "nargoutchk", the code seemed to work fine.
Hi Timothy, thank you for your feedback. And for the suggestion! I just got started with github and am building some tutorials on this in Python (you can check it at github.com/mycarta), but it did not occurr to me to upload the Matlab code as well. Great idea, I'll get to it as soon as I'm done with the Python tutorials.
Fantastic colormap! Have you though of placing your code and progress on github as well? That way we can fork, patch, or just update our copies very easily. Thank you again.
Hi Jakob, thanks for the positive feedback and for pointing that out. I am working on some additional colormaps so when I add those I will also fix the interp1 commands.
Works fine! An easy to use implementatoin of the color maps explained in the Mycarta blog. One minor issue: running the code I get a compatibility warning ("Warning: INTERP1(...,'CUBIC') will change in a future release. Use INTERP1(...,'PCHIP') instead."). Maybe this should be fixed in the next version.
Zack L-B: thanks, I must have loaded an older file accidentally. I just loaded the intended update (2014).
The current download appears to be the same as the February 2013 release.
John: I did not know you could do this:
X = 5 4 3 2 1 0 -1
X1 = 5 4 3 2 1 0 0
Wonderful, thanks for the great suggestion, I'll add that.
Matteo - You could simply catch those spurious negative values from the interpolation using max(x,0) after interp1 has done its work.
John: thanks for the feedback. You are rigth, the function fails when called as
cmap = pmkmp(1);
The fact in itself that it fails does not worry me too much since these colormaps were intended for data series, so 1 color only would not be meaningful. But it is fair to add an extra check for minimum number of colors, so I added:
error('n must be >= 2');
If someone wanted to set the display of their data to only one color, there are other ways, e.g.
Let me know what you think.
Joshua: I added the missing switch statements. THanks again.
Marius: thanks for spotting that. You are rigth, with a call like
you get a very small BUT negative value (-2.220446049250313e-16) for the Red in the last triplet. I think you are also rigth, it is because of interp1, specifically because I selected cubic as the interpolation method.
Since I want to retain that for the other colormaps, I am thinking of creating a separate function for the Edge colormap.
It looks like pmkmp fails if the number of colors requested is 1.
cmap = pmkmp(1);
Otherwise looks nice!
Very nice idea, never thought about these color perception issues.
There is a small bug in pmkmp.m with my version of MATLAB (22.214.171.1244 (R2013a)). When using the edge colormap and n values around 100 (e.g. 128 or 64) I get
Error using colormap (line 99)
Colormap must have values in [0,1].
I think this is due to interp1 returning negative values under these circumstances.
Sebastian, John (and Petros, long overdue) thanks for the positive rating and feedback.
Joshua, thanks for the rating and comments, and also for spotting the error in the code. I just moved back to Canada after a year in Norway and my computer (with Matlab) is on a slow boat, I will re-submit with the corrected code asap.
I just had a long discussion with a colleague a few days ago on "big" anomalies in his plot, which were mainly due to the perception of the chosen colormap (jet).
I really like the "Edge" and "LinearL" colormaps and will must likely start to use them in the future.
Really cool function, never thought about the perceived visual gradients in data due to luminosity mismatch. There was one error in the code where the 'linearl' and 'linlhot' were missing their switch statements. Here is the corrected switch statement on line 295 to access those last two color profiles:
baseMap = IsoL;
baseMap = CubicL;
baseMap = Edge;
baseMap = CubicYF;
baseMap = LinearL
baseMap = LinLhot
error(['Invalid scheme ' scheme])
All research to be published here:
Colin, thank you for your positive comments. I just got back after a trip and saw your post. I will look into improving/clarifying use of examples.m asap. I may wait a bit to implement an updated as I have some add-ons modifications I am working on.
Really interesting discussion/solution of a topic I hadn't given enough thought to.
p.s. It might be worth adding:
to the start of "examples.m". It took me a while to figure out why no figures were visible.
Alternatively you could consider using:
set(fign,'OuterPosition',[0.25 0.25 0.5 0.5],'units','normalized');
indeed, perceptually better!
Inspired: paruly, colormapline - color-changing 2D or 3D line, CubeHelix Colormap Generator: Beautiful and Versatile!, ColorBrewer: Attractive and Distinctive Colormaps, MatPlotLib Perceptually Uniform Colormaps
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