Title :
On data filling algorithms for MRC layers
Author :
De Queiroz, Ricardo L.
Author_Institution :
Xerox Corp., Webster, NY, USA
Abstract :
A previously adopted standard, the mixed raster content (MRC) imaging model, represents compound images as a superposition of layers. Since layers are superimposed, large regions may not be imaged onto the final raster. Thus, those regions are redundant. We focus on techniques to replace the redundant data, i.e. on data filling redundant regions based on non-redundant ones. We present techniques to minimize the rate and distortion achieved by MRC compression through data filling. We start with a general method, then narrowing the presentation to DCT based compression of planes. Iterative block filling algorithms are presented in both spatial and DCT domain.
Keywords :
data compression; discrete cosine transforms; document image processing; image coding; image representation; image resolution; iterative methods; rate distortion theory; transform coding; DCT based compression; DCT domain; MRC compression; MRC layers; compound document; compound image representation; data filling algorithms; data filling redundant regions; distortion minimisation; document compression; image layers superposition; imaging model; iterative block filling algorithms; mixed raster content; multilayer multiresolution representation; rate minimisation; redundant data replacement; spatial domain; Aging; Color; Data preprocessing; Discrete cosine transforms; Facsimile; Filling; Image coding; Internet telephony; Pixel; Rate distortion theory;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899498