QUOTE (Indian3000 @ Aug 13 2006, 11:46 AM)

Sorry for being a month and a half late on this reply, but I did want to (eventually) give a reasonable response.
First off, I think the better starting question is this: why does their Erebus pan look different than the other Opportunity panoramas? Scroll down through all the panoramas on
this page and it becomes apparent that something is fundamentally different about the Erebus panorama. We're looking at the same blueberries, the same dust, and the same color outcrops as all the other Opportunity panoramas, but the Erebus pan gives a different color impression of all 3. The time of year was different, as was the dust load in the atmosphere, but I'm not sure this completely describes the difference we are seeing. I don't know this for sure, but I think the issues lies in the filter combination. L2,L5,L6 was the standard filter combo for Lion King, Endurance South, and Rub al Khali. Since there are many L256 panoramas and mosaics taken by Opportunity, I'm sure they have spent a good bit of time fitting the data from these 3 filters to the more accurate 6 filter images. The Erebus pan used L2, L5, L7. A better match between the all-6 filter images and that particular combo could have been made, but I think we can all forgive them for getting close but not quite on the mark with this particular panorama. For more information about the Cornell teams methods for true color generation and fitting 3 filter to 6 filter, see
Bell III, J.F., J.R. Joseph, J. Sohl-Dickstein, H. Arneson, M. Johnson, M. Lemmon, and D. Savransky, In-Flight Calibration of the Mars Exploration Rover Panoramic Camera Instrument.
While I do think the filter combo of the Erebus pan is the biggest reason for the deviation, there is another difference between my processing pipeline and the one used by the Cornell team which differentiates my images and theirs. The input data is the same (I'm using their calibrated files) as are most all the steps in processing. We do differ in our processing mostly in the final steps, or more specifically in how far we process the images. The Cornell team finds the color of each pixel based on the spectrum, then display those colors. I find the color at each pixel, then adapt the entire scene based on the content, in an attempt to reproduce the effect that standing in that scene would have on the human eye (
chromatic adaptation). In that one extra step, my processing deviates significantly from the Cornell teams' work. While my methods for accomplishing this goal may be a bit un-orthodox, taking chromatic adaptation into account is standard in most terrestrial photography. In fact, most digital cameras do it automatically. Although I'm not sure why the Cornell team chooses not to include this step, I think the omission is understandable from their perspective. They are geologists, not neurobiologists. Their primary concern is the spectrum of the scene, not the (imperfect) way humans would perceive it. Of course, I would be happy to see them address this issue in the future, but I can understand their lack of concern for it in an immediate sense.