Lossy compression of stochastic halftones with JBIG2

Author

Valliappan, Magesh ; Evans, Brian L. ; Tompkins, Dave A D ; Kossentini, Faouzi

Author_Institution

Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA

Volume

1

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

214

Abstract

The JBIG2 standard supports lossless and lossy coding models for text, halftone, and generic regions in bi-level images. For the JBIG2 lossy halftone compression mode, halftones are descreened before encoding. Previous JBIG2 descreening implementations produce high-quality images for clustered dot halftones at high compression rates but significantly degrade the image quality for stochastic halftones, even at much lower rates. In this paper, we develop (1) a flexible, computationally efficient, JBIG2-compliant method for compressing stochastic halftones that reduces noise, artifacts, and blurring; (2) quality measures for linear and nonlinear distortion in compressed halftones; and (3) rate-distortion tradeoffs for the encoder parameters

Keywords

data compression; encoding; image coding; JBIG2; artifacts; bi-level images; blurring; clustered dot halftones; encoder parameters; encoding; generic regions; lossy coding models; lossy compression; stochastic halftones; Degradation; Distortion measurement; Encoding; Image coding; Image quality; Noise measurement; Noise reduction; Nonlinear distortion; Stochastic processes; Stochastic resonance;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-5467-2

Type

conf

DOI

10.1109/ICIP.1999.821600

Filename

821600