Quote:
Originally Posted by multiweb
I agree with that approach. It is data visualization and as long as the ratios mapping to RGB are presented and no individual channel color manipulation, sharpening, levels or worse masking was done after the blend then it is a valid image. I did blend in the past Infrared and Sii as a bicolor image.
I just never thought about assigning the same data to different channels with different weights. That is more like modifying the dynamic range in each channel. I assume if the weights were 1:1:1 you'd end up with a monochrome image.
|
The example I gave was very contrived because all I was doing was mapping the shades of 8 bits per pixel of grey already visible into an arbitrary colour map. The benefit is really when visualising an image with more than 8 bits of monochrome data per pixel. Our computer displays can only show 8 bits of grey scale but when mapping different parts of the grey scale to different contrasting colours the visible dynamic range of a 14 bit or 16 bit image is increased. Instead of assigning weights to the channels, it's a matter of mapping different sections of the grey scale to different (contrasting) colours. It's not pretty (in fact the Lagoon Neb example I posted was ugly AF!) but it's not about aesthetics, instead it's about visualising the data.