Main Index
    Lobsang Studio
    mya Colour

        – Inside mya
        – the Human Equation
        – Colour Conversion
        – Human Perception
        – Our Eyes and Mind
        – Retina Resolution
    Pantone Interactive
    ColorPhazer Tool
    PixelPhazer Tool
    Natures Collection
    Hubble Imagery
    Abstract Art


Converting RGB to CMYK
Any curious math student can easily obtain numerous equations on how to convert colour values from one colour model to another. Documents and research are everywhere and the conversion process is seemingly straight forward and simple, but there are problems to contend with....

1.  Nearly every colour model has it’s own inherent problems and inaccuracies, so if any of these colour models are used, then those inaccuracies are built into the colour conversion (separation). mya does not use any of these colour-space models, therefore doesn’t have these inaccuracies.
2.  Humans don’t see perfectly mathematical, rather our colour perception is strongly influenced by surrounding colours and lighting. mya makes use of the way humans perceive colour to reproduce great detail and maintain saturated colours.
3.  Printing inks are far from the values needed to be primary colours (for example: magenta ink typically contains over 40% yellow hue in it due to manufacturing limitations). mya knows the average amount of contaminate colours in printing inks and compensates as much as possible for these hue errors.

Once you add these error factors together, you get the problems seen in virtually every colour separation program -- weather built into your scanner, imaging software, or a stand-alone application. This has caused people to either suffer from poor quality colour separations or spend noteworthy amounts of time tweaking and adjusting their separated images to get close to what they originally wanted. mya’s solutions to these problems gives you get great colour and detail, with a remarkably simple and fast interface.

N E X T : Human Perception


test pattern colour separated with mya


separated using other professional software




Note the smooth and accurate colour blends generated from mya compared to the more banded patchy colour common with most other separation techniques.

Colours in your image that get separated into area "A" would have exaggerated contrast and innacurate colour; while colours landing in region "B" would have no detail due to a large range of colours all getting separated into the same values.