Segmentation for better rendering of mixed-content pages

Yi-Ting Chen; Di-Yuan Tzeng; Terry Nelson; Mark Shaw; Jan P. Allebach

doi:10.1117/12.2006150

4 February 2013 Segmentation for better rendering of mixed-content pages

Yi-Ting Chen, Di-Yuan Tzeng, Terry Nelson, Mark Shaw, Jan P. Allebach

Proceedings Volume 8652, Color Imaging XVIII: Displaying, Processing, Hardcopy, and Applications; 865209 (2013) https://doi.org/10.1117/12.2006150
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

We describe a segmentation-based object map correction algorithm, which can be integrated in a new imaging pipeline for laser electrophotographic (EP) printers. This new imaging pipeline incorporates the idea of object-oriented halftoning, which applies different halftone screens to different regions of the page, to improve the overall print quality. In particular, smooth areas are halftoned with a low-frequency screen to provide more stable printing; whereas detail areas are halftoned with a high-frequency screen, since this will better reproduce the object detail. In this case, the object detail also serves to mask any print defects that arise from the use of a high frequency screen. These regions are defined by the initial object map, which is translated from the page description language (PDL). However, the information of object type obtained from the PDL may be incorrect. Some smooth areas may be labeled as raster causing them to be halftoned with a high frequency screen, rather than being labeled as vector, which would result in them being rendered with a low frequency screen. To correct the misclassification, we propose an object map correction algorithm that combines information from the incorrect object map with information obtained by segmentation of the continuous-tone RGB rasterized page image. Finally, the rendered image can be halftoned by the object-oriented halftoning approach, based on the corrected object map. Preliminary experimental results indicate the benefits of our algorithm combined with the new imaging pipeline, in terms of correction of misclassification errors.

Citation Download Citation

Yi-Ting Chen, Di-Yuan Tzeng, Terry Nelson, Mark Shaw, and Jan P. Allebach "Segmentation for better rendering of mixed-content pages", Proc. SPIE 8652, Color Imaging XVIII: Displaying, Processing, Hardcopy, and Applications, 865209 (4 February 2013); https://doi.org/10.1117/12.2006150

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KEYWORDS

Raster graphics

Image segmentation

Image processing algorithms and systems

Halftones

RGB color model

Printing

Binary data

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