7 ms·
I'm wondering how scalable would this be for hyperspectral images, with 25 channels for example. I'm guessing it's just repeating the processing for RGB channel
by zosoworld 5y ago
I'm wondering how scalable would this be for hyperspectral images, with 25 channels for example. I'm guessing it's just repeating the processing for RGB channels but for 25?
- jameshart 5y agoVery much the kind of expert group design-by-committee type of requirement that this simple compression scheme was designed not to handle. Since this scheme works primarily on exact cross-channel pixel matches, no. No it won’t work well for 25 channel images. Which is a good thing. Most people are not trying to encode 25 channel hyperspectral data and if they are they can use their own format designed well for that purpose (or a committee-derived format that handles it adequately). Or they can split the 25 channels across 7 4 channel images and encode them using this.
- zosoworld 5y agoI did not try to imply that this should contemplate the other use case, but I was wondering whether the compression percentage would scale up with more channels that might not be related in the same way RGB are (as in luminance, for example). This effort really makes me want to try to do something similar for the other use case, and see how well it fares compared to the convoluted standards that are used for this topic. Thank you for your insight!