Abstract: Disclosed is a lossless image streaming system for the transmission of images over a communication network. The system eliminates the necessity to store a compressed version of the original image, by losslessly streaming ROI data using the original stored image. The imaging system of the present invention also avoids the computationally intensive task of compression of the full image. When a user wishes to interact with a remote image, the imaging server performs a fast preprocessing step in near real time after which it can respond to any ROI requests also in near real time. When a ROI request arrives at the server, a sophisticated progressive image encoding algorithm is performed, but not for the full image. Instead, the encoding algorithm is performed only for the ROI.

Abstract: A client/server system for reading, measuring and displaying color density of documents located on a remote file system accessed over a WAN such as the Internet. The color density information displayed corresponds to specific coordinates of documents that are located on the remote image file servers. The invention provides means for reading, displaying and recording color density measurements of original digital images located on remote image file servers rather than representations of these digital images stored on the user's local computer or LAN. A web server application on the server side functions to capture measurement requests from one or more client applications for measuring, sending, recording and retrieving color density measurements related to specific positions of specific documents located on an image filer server.

Abstract: The imaging system that is described below is an image streaming system which is different from traditional compression systems. It eliminates the necessity to store a compressed version of the original image, by streaming ROI data using the original stored image. The imaging system of the present invention also avoids the computationally intensive task of compression of the full image. Instead, once a user wishes to interact with a remote image, the imaging server performs a fast preprocessing step in near real time after which it can respond to any ROI requests also in near real time. When a ROI request arrives at the server, a sophisticated progressive image encoding algorithm is performed, but not for the full image. Instead, the encoding algorithm is performed only for the ROI.