Jhelioviewer java movie#
Jhelioviewer java software#
Jhelioviewer java download#

JHelioviewer video tutorial on YouTube HD Read a Web feature about JHelioviewer and its capabilities See a video made by вЂњcitizen scientistвЂќ LudzikLegoTechnics on YouTube. Another way of saying this is вЂњthe Web back in the 1990s.вЂќДЄ collection of video highlights from 2011 (so far) created by users.

Jhelioviewer java download#

If not for JPEG2000, you would need to download an entirely new version of the video вЂ“ amounting to gigabytes of data вЂ“ every time you made a change. If you choose to download the video, the server renders the final product at whatever settings you choose. This means that as the video plays, you can zoom, pan, sharpen, brighten, or follow a specific feature across the sun.

Jhelioviewer java movie#

вЂњThe result is a sort of вЂdynamicвЂ™ movie stream that you can create, and then adjust as you are playing it.вЂќ вЂњJHelioviewer tells the server which portion of the images it is interested in, and the video-stream is updated in real time so that only those bits are transmitted back to JHelioviewer,вЂќ Hughitt explains. This вЂњon the flyвЂќ manipulation also applies to time-lapse videos made with JHelioviewer. That one image file - or a portion of it - can be quickly decompressed and displayed at the resolution needed.ДЇor example, as you click the little вЂњplus signвЂќ icon on Helioviewer to zoom in on a flare on the surface of the sun, the back end of the system decompresses the same file multiple times at increasing resolution - like a telephoto lens capturing an image at ever higher magnification - and displays it on your computer screen. The system needs to store this one compressed master file, not hundreds of tiles. The image can be available on HelioviewerвЂ™s server at Goddard in as little as 20 minutes. one every few seconds) and then sends them through a data pipeline to Goddard. Lockheed MartinвЂ™s Solar and Astrophysics Laboratory, based in Palo Alto, California, that built the Atmospheric Imaging Instrument aboard SDO, uses JPEG2000 to compress every third new SDO image (i.e. We were able to develop a way to do that quickly enough that you can do it right on the Web page.вЂќ вЂњInstead of generating all the possible tiles for every single image, we wait until the user asks for a tile and generate it right then, and only generate the ones we need. вЂњOne thing that changed early on that made a huge difference and made all this really possible is that we use this JPEG2000 technology,вЂќ Helioviewer Project co-founder Keith Hughitt explains. If you have ever downloaded or extracted a very large compressed image file, you understand the time saving that JPEG2000 offers. In other words, the system generates only the part of the image you really want to see. Also, JPEG2000 can extract sub-regions of the compressed image file without having to open the whole file. Then Helioviewer met JPEG2000, a standard for compressing images to make them extremely small while maintaining very good image quality. Each tile is a separate file, and they all have to be labeled, stored, and pulled from storage and assembled when needed. The trouble is, as you zoom in it requires an ever-increasing number of small tiles (numbering in the hundreds) to build the new image. The system retrieved the tiles it needed to build the view requested by the user with every click of the mouse. In the prototype of, each stage of a zoom-in required a complete set of tiles. вЂњGoogle Maps was the original inspiration for it,вЂќ Helioviewer Project co-founder Jack Ireland says. The prototype of Helioviewer took this approach, too, following GoogleвЂ™s lead. Google Maps and Google Earth overcame this issue by вЂњtilingвЂќ large images into a checkerboard of smaller segments that could be quickly assembled into an image at the scale a user requested. SDO sends down images that are 4,000 by 4,000 pixels, approximately the same number of pixels as in a 13 by 13 inch photographic print.

This is particularly challenging when working with high-resolution images from NASAвЂ™s Solar Dynamics Observatory. The challenge was this: How do you acquire and manipulate solar images quickly enough so that the process is truly вЂњreal time,вЂќ without long waiting times for downloads and glacial refresh rates on the image view every time you make a change, like zooming in on a feature of interest? But there is also a critical data-processing вЂњback endвЂќ that required just as much effort to develop.

Jhelioviewer java software#

The Web app and the JHelioviewer software are the on-screen interfaces that users see. The Solar Dynamics Observatory beams data to Earth at a rate of 150 Mb per second.