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A data selection problem(in3D).by BrowserUk (Pope)
|on Apr 06, 2017 at 08:21 UTC||Need Help??|
BrowserUk has asked for the wisdom of the Perl Monks concerning the following question:
In this image the 62770 non-CYAN (rgb(255,0,255)) pixels above the red line constitute the dataset for this problem. They are ordered according to their HSV values, with the Y-axis being hsv-V(0..255), the X-axis(0..255) the hsv-S value within 31, 256x256 hsv-H value frames distributed along the X-axis.
I can make the same dataset available as text (rgb & hsv triples) should anyone be interested; but it is too big to post here.
The fully populated hsv-H frames below the red line are for comparison and discussion only, and are not a part of the dataset.
The data are a uniqified (and sub-setted; only hsv-H frames 30..60 inclusive) of the pixel colors found in this image picked for its aesthetics from the net.
(Using this code:
My goal is to reduce those 62770 pixel values to a coherent, progressive, aesthetically pleasing 'gold scale' (after 'greyscale) of 256 values running from black to white, but encompassing as much of the range (nebulous term) of the full dataset as possible. An altogether unsatisfactory description, but I haven't hit upon anything better yet.
If you look at the data pixels in the middle to lower right corners of the left-most frames, any gold color is quite to very dark, coming from the shadowed parts of the source image. And the few pixels in the right most frames anything that isn't (close to) white, is a quite bright, pale lemon yellow; coming from the reflective highlights in the original image.
I want to select 256 shades, tints and tones that progress from black, through dark gold to gold, to bright gold, to yellow then white. And after 4 or 5 days of playing I haven't a clue how to go about it. Any thoughts, speculations or suggestions gratefully received.
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