Halftoning processing on a JPEG-compressed image

Cedric Sibade; Stephane Barizien; Mohamed Akil; Laurent Perroton

doi:10.1117/12.527482

18 December 2003 Halftoning processing on a JPEG-compressed image

Cedric Sibade, Stephane Barizien, Mohamed Akil, Laurent Perroton

Proceedings Volume 5293, Color Imaging IX: Processing, Hardcopy, and Applications; (2003) https://doi.org/10.1117/12.527482
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Digital image processing algorithms are usually designed for the raw format, that is on an uncompressed representation of the image. Therefore prior to transforming or processing a compressed format, decompression is applied; then, the result of the processing application is finally re-compressed for further transfer or storage. The change of data representation is resource-consuming in terms of computation, time and memory usage. In the wide format printing industry, this problem becomes an important issue: e.g. a 1 m² input color image, scanned at 600 dpi exceeds 1.6 GB in its raw representation. However, some image processing algorithms can be performed in the compressed-domain, by applying an equivalent operation on the compressed format. This paper is presenting an innovative application of the halftoning processing operation by screening, to be applied on JPEG-compressed image. This compressed-domain transform is performed by computing the threshold operation of the screening algorithm in the DCT domain. This algorithm is illustrated by examples for different halftone masks. A pre-sharpening operation, applied on a JPEG-compressed low quality image is also described; it allows to de-noise and to enhance the contours of this image.

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Cedric Sibade, Stephane Barizien, Mohamed Akil, and Laurent Perroton "Halftoning processing on a JPEG-compressed image", Proc. SPIE 5293, Color Imaging IX: Processing, Hardcopy, and Applications, (18 December 2003); https://doi.org/10.1117/12.527482

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KEYWORDS

Image compression

Image processing

Printing

Quantization

Digital image processing

Image quality

Data storage

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