Lately I’ve been experimenting with displaying very large images on the internet via a web browser, with pan and zoom functionality. The guts of this functionality are the same regardless of implementation. On the server, a tile cutter processes a large image, and constructs an image pyramid. The image pyramid is a hierarchical structure composed of n levels of the same image at different resolutions. Starting with the bottom level as the original image, each successive level reduces the image size by half, and the process is repeated log_2( max( width, height)) times until finally an image of only 1 pixel (average of entire image) is generated as the top of the pyramid. Each level’s image is split into a set of fixed size tiles. A web browser client implementation ( flash, ajax, etc) constructs a zoom interface, that responds to zoom in events by moving the viewport progressively further down the pyramid, showing tile images of the larger resolution to give the effect of zooming into an image. A nice illustrated write up of the concept can be found here. I’ve probably made it sound more complicated than it really is.
The initial implementation I was working with utilized OpenLayers, which implements a client for accessing OpenGIS Web Feature Servers (WFS) and Web Mapping Servers (WMS). Unfortunately the size of the library seems to be constantly increasing (~200K in the last year) and currently weighs in at 560K uncompressed, and requires a special implementation to serve up the tile images, ie. a WMS Compliant system, in this case TileCache. For scaling and efficiency purposes, I’d much prefer to directly serve these images off a CDN, disk (nginx), or via varnish and bypass any application code. Additionally the sheer size of the OpenLayers code was unwieldy for the integrations requirements I had, which did not include any GIS functionality.
I came across ModestMaps next, which is a flash (2 & 3 ) based implementation, with a small size (demo). One nice feature of modest maps, is that it performs interpolation between successive levels giving a smooth zoom experience to an end user unlike somewhat jerky experience that GSIV produced. Unfortunately being flash based meant a whole different chain of development tools. I looked around at what was available for an opensource flash compiler toolchain and found MTASC (Motion Twin Action Script Compiler ) and Haxe. In the end i decided against it, partly due to its GIS focus, and the customization/ maintenance cost for developing on propretiary platform (Flash). Despite that, i think its the best of the opensource viewer implementations if your already have/use an adobe flash development stack.
To process the several hundred gigabytes of images, i utilized this library and wrote a batch driver utilizing pyprocessing remote queues, a small zc.buildout and cloudcontrol to process the images across a cluster, but thats left as an implementation detail for the reader 🙂