Translator Disclaimer
3 March 1995 JPEG compression for a grayscale printing pipeline
Author Affiliations +
Proceedings Volume 2418, Still-Image Compression; (1995) https://doi.org/10.1117/12.204133
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
We describe a procedure by which JPEG compression may be customized for grayscale images that are to be compressed before they are scaled, halftoned, and printed. Our technique maintains 100% compatibility with the JPEG standard, and is applicable with all scaling and halftoning methods. The JPEG quantization table is designed using frequency-domain characteristics of the scaling and halftoning operations, as well as the frequency sensitivity of the human visual system. In addition, the Huffman tables are optimized for low-rate coding. Compression artifacts are greatly reduced because they are masked by the halftoning patterns, and pushed into frequency bands where the eye is less sensitive. We present experimental results demonstrating that the customized JPEG encoder typically maintains `near visually lossless' image quality at rates below 0.2 bits per pixel (with reference to the final, printed image). In terms of the achieved bit rate, this performance is typically at least 20% better than that of a JPEG encoder using the suggested baseline tables.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rick A. Vander Kam, Ping Wah Wong, and Robert M. Gray "JPEG compression for a grayscale printing pipeline", Proc. SPIE 2418, Still-Image Compression, (3 March 1995); https://doi.org/10.1117/12.204133
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

New feature-based image adaptive vector-quantization coder
Proceedings of SPIE (December 08 1995)
Quality metrics for low-bitrate coding
Proceedings of SPIE (June 03 1997)
Coding Of Data For Laser Recorders
Proceedings of SPIE (October 26 1983)
Coding of edge blocks in digital video sequence coding
Proceedings of SPIE (September 16 1994)
On Transparent Quality Image Coding Using Visual Models
Proceedings of SPIE (August 15 1989)

Back to Top