It's time to start a new topic for Juno's Perijove-09.
Due to solar conjunction, data downlink is delayed several days, but things appear to look good thus far.
Data downlink started on October 31, and if everything continues well, it should be a matter of a few days, at most, until the majority of the raw Perijove-09 images will become available. Due to the incremented available storage for JunoCam, we may get a sufficient coverage to render a pole to pole -- well, almost pole to pole -- fly-over reconstruction, despite the difficult communication near solar conjunction. I'll have a try at least, over the next few weeks.
More power to you Gerald, next week is going to be busy & fun!
The PJ9 images are on missionjuno (although the front page doesn't say this yet.)
http://junocam.pictures/gerald/uploads/20171106a/ without SPICE nor shape model, therefore close-up portions not yet properly RGB aligned.
The enhanced versions will take another few hours.
This is the 10-fold reduced testrun of the version I'm currently rendering:
Gerald, thanks for making the quick and dirty versions available so quickly. I have processed image #105, which is a family portrait of Jupiter with Io and Europa.
https://flic.kr/p/21a88gC
https://flic.kr/p/21a88gC
A small amount of unsharp masking was applied to enhance some of the detail, which reveals what look like real albedo features on Io's surface. This image is simply enlarged by 3x:
https://flic.kr/p/21cct37
https://flic.kr/p/21cct37
This is Io's southern hemisphere but I'm not entirely sure which features should be visible. Maybe Tarsus Regio?
Great to see you finding out which moons those are, while I've been rendering and uploading the enhanced versions of the close-ups to the missionjuno site.
Here the JPG version, going to be distributed over several posts:
Perijove-09, #75, #76, #79, and #79:
PJ-09, #80, and #81, with close-ups of the northern "folded filamentary regions" (FFRs), mostly cyclonic turbulent storms known for their increased probability to show lightnings:
#88, and #89, now we are already above the southern hemisphere:
#90, with the white anticyclonic oval A5, if the prognosis has been correct:
Approaching the south pole along images #93, #94, #95:
Perijove 09 sequence, based on Gerald's work...
672 Megapixel
https://flic.kr/p/21fGVut
168 Megapixel
https://flic.kr/p/21fGMXV
10k
https://flic.kr/p/21fGNcx
Some processed & cropped hilites...
https://flic.kr/p/Gjaf9p
https://flic.kr/p/Gjaerx
https://flic.kr/p/ZaVY1W
https://flic.kr/p/21cXuwm
https://flic.kr/p/21fMUdv
https://flic.kr/p/21aVmw3
https://flic.kr/p/21fMKxp
Striving towards an enhanced but still naturalistic processed version. This is my take on #084, which includes a photobomb by Io and Europa.
https://flic.kr/p/21jdTEt
https://flic.kr/p/21jdTEt
A very close look at Io shows a circular reddish spot at about the 9 o'clock position. There are some subtle albedo features around the 2 o'clock position as well. My guess (and this is only a guess), is that they are the Pele plume deposits and the region around Issum Patera, respectively. Here's a 4x enlarged image. (To view the uncompressed image, click through and add '/sizes/o' to the end of the url)
https://flic.kr/p/GnBMHg
https://flic.kr/p/GnBMHg
Some Videos:
https://youtu.be/WTtmzl026Ps
https://youtu.be/kJL7viyPPrY
New pass on Perijove 09 [G.Eichstadt] Upscaled, processed, patched & reframed...
PJ09_76
https://flic.kr/p/21hDomG
PJ09_78
https://flic.kr/p/ZfCKPA
PJ09_79
https://flic.kr/p/ZfCKE7
PJ09_80
https://flic.kr/p/21hDnK1
PJ09_90
https://flic.kr/p/Zns9PJ
PJ09_91
https://flic.kr/p/21sxpeV
*update*
PJ09_81
https://flic.kr/p/21pBfhG
PJ09_82
https://flic.kr/p/21uY6hF
PJ09_92
https://flic.kr/p/DovrtY
PJ09_89
https://flic.kr/p/GzJsbp
PJ09_Sequence1
https://flic.kr/p/21ruNHq
PJ09_Sequence3
https://flic.kr/p/GzKnPX
http://junocam.pictures/gerald/uploads/20171116a/. Illumination adjustment is based on PJ-06 TDI-2 images, and may be biased.
I'm elaborating approach and some departure PJ-09 images in more detail, since they are likely to be the only visible light Jupiter images of a major part of its surface available during solar conjunction.
Departure images are more challenging to process due to spacecraft maneuvers, and due to the position of Jupiter approaching the left margin of JunoCam's fov, where geometric calibration is particularly tricky. I'll see over the next few days, how far I can get, hopefully over the first two Jupiter days (i.e. 20 hours) after PJ-09, at least.
I might find time to infer a PJ-09 specific illumination model before PJ-10, but I'm not yet sure.
These pictures are convincing me that there will eventually be enormous scientific payoff from the Juno imagery, despite the official disclaimers. The still images alone speak to the dynamics taking place, and in concert with the deep-looking radiometry and lower-resolution images from Earth that provide greater temporal coverage, seemingly must speak volumes to the atmospheric dynamics at large and small scales.
And also: They are stunning! You amateur image wizards are working wonders.
The Atlantic posted an article today by Marina Karen titled The Photoshoppers Behind Dreamy Jupiter Photos, which quotes members Gerald Eichstädt, Seán Doran, Björn Jónsson, Roman Tkachenko, Emily Lakdawalla, and Jason Major (listed in the order mentioned).
https://www.theatlantic.com/science/archive/2017/11/juno-jupiter-pictures/546146/
The article includes a passage that echoes JRehling's observation about the scientific value of these images:
Here is a montage of several versions of PJ-9 image 93:
At the edge of the abyss (Jupiter at 4467 km)
Some PJ09 hilites after Gerald's work...
79
https://flic.kr/p/Dy7Fx5
80
https://flic.kr/p/DxTGnY
89
https://flic.kr/p/21DNTbb
90
https://flic.kr/p/ZzDFs3
91
https://flic.kr/p/DyZvJA
91
https://flic.kr/p/ZBgSAN
91
https://flic.kr/p/Dz2qib
My JunoCam workflow still isn't 100% satisfactory, but was able to work these up over the weekend after realizing I had nothing good from Perijove 9. I'm using a script which simply grabs each strip and stacks them by color band. It doesn't yet do any spice-based alignment or reprojection, but I'm hopeful I can figure that part out. The script also does a histogram equalization and grayscale contrast adjust. I take the output into Photoshop, do some manual alignment, brightness adjustment, and sometimes a HDR toning for contrast and structure. Finally, I make final adjustments for tone, presence, sharpening, & noise in Lightroom.
A couple more shots I was able to go back and reprocess. The color isn't quite there and I am focusing on enhanced contrast.
Io as seen by Juno
In the meanwhile, John Rogers released two reports about Perijove-09:
https://britastro.org/node/11779, and
https://britastro.org/node/11780.
Despite the difficult observational conditions, we were able to create a global cylindrical map.
Of particular interest is a newly formed south tropical disturbance near the GRS.
Well, UMSF has been playing an important, if not essential role in bringing people together.
---
https://youtu.be/GdRQ2pOnuaw.
The link is submitted to missionjuo, too.
I've implemented a "nadir mode" for cylindrical views. This helps to make the movie's horizontal center continuously pointing to Jupiter's center. Vertical displacement is allowed in order to fit with JunoCam's fov. For the youtube version of the movie, I've chosen half second blendings, since the alignment of the scenes isn't quite perfect, and would hence result in doubled features over too long periods of time.
I'll try to upload stills, and mp4 files onto the junocam.pictures webspace later tonight (CET).
Another excellent effort Gerald! I think this sequence really sells how close Juno gets to Jupiter. I hope the tweening software can handle the closer frames without too much trouble.
This is so cool Gerald! Here is my humble attempt at a more poetic rendering of your animation:
https://vimeo.com/244473772
Thanks! I like that sound track of Vangelis, Avisolo.
http://junocam.pictures/gerald/uploads/20171126/ since a few hours; the online version is compressed to 1.7 GB of JPG files, I've used 98% quality in order to save upload time and storage volume, and to maintain good quality.
I've rendered two movie versions, one with short blending for Youtube upload, and another one with long blending resulting in an overall more continuous impression, but with considerable feature doubling.
The individual scenes before blending are provided as MP4, as well.
The MP4 scenes have been rendered from BMP files, the same files the JPG stills are derived from. Each of the BMP files has been rendered directly from the respective raw files in one monolithic step using double precision floating point arithmetics.
Thanks Gerald!
I've replaced the original video with the files you uploaded, makes for better viewing:
https://vimeo.com/244473772
Beautiful! I've recommended it via email to several members of the JunoCam team.
It appears that these animation renders are reversed/mirrored. Can you confirm this Gerald? At least when compared with the initial processed stills.
You are right, the cyclones are winded in the wrong sense. I should have noticed that. I'll try to mirror the movie. The stills will remain as they are.
It's easy enough to correct, I just wanted to make sure you knew.
These things can happen, especially when I'm working around the clock. Thanks for your checking!
https://www.youtube.com/watch?v=52RHg3Ba69c&feature=youtu.be, now.
The previous version on the missionjuno site hasn't been approved yet. So, I've removed it and added the revised version, instead.
Here is an early pass on Gerald's video [flipped, rotated, variably retimed & processed] set to 'Orphic Hymn' by Jóhann Jóhannsson
https://streamable.com/iyx8h
60fps version on https://youtu.be/TOa292kdegw
Tinkering with re-scaled stills from Gerald's flyby...
https://flic.kr/p/21UexUL
*update*
...and another...
https://flic.kr/p/E2RWEm
( uploaded corrected, flipped version )
This is a processed, masked blend of projected images [ 90 & 91 ] from Geralds' flyby...
https://flic.kr/p/ZPxNUX
Amazing planet and excellent work from Sean and Gerald. I'm gradually getting better at figuring which belts/zones we are seeing when we're at somewhat lower latitudes. Post #31 helps with this.
Someone on Twitter sent me this...
https://imgur.com/DZCDqBD
I think it really ties the room together!
Walnut? or birds eye Maple perhaps, nah, too dark, which brings me onto that!!! couch....
The slightly fuzzy, wrapped canvas isn't too bad though.
Haha... thanks Doug, I love coffee coming out of my nose!
Hey everybody, first time posting to the site after learning of it's existence the other day. I've been getting back into space-oriented side projects lately and wanted to add Juno image processing to the list. I haven't dug too far into the "proper" methods of processing these images yet but did a quick test last night regardless. I was really surprised to find that compiling the color separations into one image seem to leave the result pretty far feeling from true color.
I'll be looking at more methods to bring that to a better accuracy but for now I wanted to share what I came up with, on the left is what I got just from compiling the red green and blue channels and on the right was my first run at altering it to try and bring out some of the detail. I didn't do any drastic colors, I was mostly trying to sort out how to bring out the clarity of the features from the North Pole image I used. I would love any feedback you could provide and plan to post more as I continue to refine my process, and will probably also experiment with some other styles just for fun.
Hi Jay (and everyone). I was in your position about a month ago. I wrote an automated processing pipeline to process the raw images for a class, though it still needs some improvement. Most of the info I needed I found either in technical papers or on this forum.
Did you decompand the image data? I found that helped a huge amount, though the color channels still need calibrating afterwards. If so, you probably just need to weight the color channels. I found several in these forums, the one I ended up using was one Gerald suggested in one of his papers: http://www.unmannedspaceflight.com/index.php?act=attach&type=post&id=42174
In order to remove most of the greenish cast, I've been using 0.88 for red since PJ-06 for enhanced images. But this might undergo another refinement later.
In general, I'm not sure, whether there is a fixed "how to". It depends on your purpose. I've written almost 10 MB of code for various purposes of JunoCam image processing and related tasks, almost everything from scratch. Might be the code could be shortened to 5 MB with sufficient effort in "refactoring", but I've still a long list of TBDs after four years of development. I might double the code next year in order to cover some of the items on the (ambitious) list.
I'm interested in developing and understanding all technical detail about camera calibration, processing, data reduction, evaluation, and beyond, independent of possibly existing partial solutions, but that's probably not the recommended way for people, who just like to create beautiful images, nor for professionals who need to reduce specific project costs and risks.
The semantics of the code overlaps with that of NAIF/SPICE and ISIS3. So, if you are happy with "the standard", you might consider to base your work on these libraries and tool sets. The JunoCam extension for ISIS3 is work in progress since quite a while, and might be released next year, for those who are used to work with ISIS3 in a UNIX environment.
Regarding threads, I guess, that Candy would be happy to learn about possible extensions of the missionjuno website. One of her primary objectives is "Science in a Fishbowl", as far as that's possible without running into science publication or privacy issues. "Evaluating JunoCam images with ISIS3" might become one of the considered topics.
The code I developed was for a computational photography course, so for a variety of reasons I used only related methods. So I only did 2d alignment methods to register the framelets, which turned out OK but obviously was not perfect. It seemed like I would just be able to find the homographies for perfect framelet alignment but I wasn't able to get acceptable/consistent results doing it. I was hoping to be able to open source the code for people to play around with but I need to check guidelines related to the class first.
The Juno Software Interface Specification document says they perform a white balancing such that a white surface has a value of 10000. (For planetary targets). I did not attempt to implement this.
I was thinking that a thread that could summarize information about the spacecraft and specifically the instruments (including junocam) would be useful. It could encompass "official" pipelines as well as unofficial ones by giving enough data to help people implement it themselves or modify existing code. For example, originally I wanted to try to visualize data from JIRAM or MWR and merge them with junocam imagery.
I have a list of links to a variety of documents and posts that could be helpful to start.
Also, were the flat fields ever released? I found mention of them in the calibration report but could never actually find them.
Thank you all for sharing the information, I'll be sure to read through the provided links when I get home tonight. I did not decompand the image, to be honest I'm a bit like Alice tumbling into the rabbit hole, not having realized how deep the work with these images goes, but I love it. I focus mainly on 3D work but want to be able to process and include real imagery for future projects (and its also a blast) so I'm starting at the ground floor with processing actual spacecraft imagery.
That said I haven't had as much fun with Photoshop in a long time as I have with my first runs with Perijove 9. I can see though Gerald why many people base their work off yours as a starting point. Really loving the community and work this place provides, so thank you all for that.
A bit late (since the PJ10 images are now available) but here are my versions of PJ9_081 ("northern coverage"). Approximately true color/contrast versions and then enhanced versions:
There is an area in one of the enhanced PJ9_081 images in my previous post that I find especially interesting:
Here is an update on PJ09_80 [G.Eichstadt]
https://flic.kr/p/21A9jcn
Detail
https://flic.kr/p/Dhcsdp
Someone sent me a picture of a print they made of my previous rendition...
I'm not sure how healthy it is to stare into Jupiter's soul too long.
A second look at PJ09_90 [G.Eichstadt] detail...
https://flic.kr/p/23bFbqB
Artist Lucy West recently posted her take on PJ09_80 so I decided to create a sequence showcasing the inspiration for the final piece...
In order; Juno-Gerald-Seán-Lucy
https://flic.kr/p/24YgUn2
Lucy's artwork is 36" x 36"
http://lucyweststudios.com/
When you try a cross-eye or a parallel-eye, you'll notice, that Lucy's geometry is slightly different from the original. So, that's an actual painting, not just a reproduction with some printing or morphing technique.
It's a long time since I've seen a naturalistic complex painting so similar to the original, but still with a personal artistic and stylistic note, an art already rare half a century ago.
PJ09_90_new pass
https://flic.kr/p/GtwqCT
I'm not sure if Sean or Gerald are aware (they probably are), but to those who are not aware, https://commons.wikimedia.org/wiki/File:PIA21972_Jupiter_Blues.jpg is a finalist in https://commons.wikimedia.org/wiki/Commons:Picture_of_the_Year/2017/R2/Gallery
Thanks a lot! I feel honoured, of course.
I've actually been busy with identifying certain subtleties in images like these:
Still a work in progress but I can't help but share this:
Wow, that's about 35 distinct locations in one hemisphere. I didn't realize that Io showed so many distinct hotspots at one time.
48 distinct hotspots from my count (50 from PJ10 in the other thread, though two maybe the same hotspot, but the source is extended...).
Astonishing, and astonishing work, VP.
PJ09_81_GE/SD Detail
https://flic.kr/p/2e8S5nm
PJ09_90 GE/SD Detail...
https://flic.kr/p/2fadxkd
PJ09_81_Detail [ GE/SD ]
https://flic.kr/p/2gtqpa4
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