Data Representation and Handling for Large Image Browsing
O E. Kia, A A. Schaff, J J. Sauvola
In this paper we present results of work done on large image browsing. Advances in compression and transmission have allowed efficient usage of storage and transmission resources; however, much work needs to be done in order to integrate such concepts in the processing and handling of data. One such problem is image browsing. Large images, in order of hundreds of Megabytes to Gigabytes exist that not only strain storage resources of some computers but make transmission almost impossible for dialup networks or even some digital networks. By exploiting the fact that receiving nodes need to only view limited regions of the image, a data organization and handling mechanism is devised to serve the appropriate data in a timely fashion. A wavelet-based approach is pursued with desirable compression and progressive characteristics along with scalar and spatial access to pixel data.
compression, data handling, image retrieval, transmission
, Schaff, A.
and Sauvola, J.
Data Representation and Handling for Large Image Browsing, SPIE series
(Accessed March 1, 2024)