Inverse halftoning using wavelets

Author

Xiong, Zixiang ; Orchard, Michael T. ; Ramchandran, Kannan

Author_Institution

Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA

Volume

8

Issue

10

fYear

1999

fDate

10/1/1999 12:00:00 AM

Firstpage

1479

Lastpage

1483

Abstract

This work introduces a new approach to inverse halftoning using nonorthogonal wavelets. The distinct features of this wavelet-based approach are: (1) edge information in the highpass wavelet images of a halftone image is extracted and used to assist inverse halftoning, (2) cross-scale correlations in the multiscale wavelet decomposition are used for removing background halftoning noise while preserving important edges in the wavelet lowpass image, and (3) experiments show that our simple wavelet-based approach outperforms the best results obtained from inverse halftoning methods published in the literature, which are iterative in nature

Keywords

correlation methods; discrete cosine transforms; filtering theory; high-pass filters; image processing; inverse problems; iterative methods; low-pass filters; background halftoning noise; cross-scale correlations; discrete dyadic wavelet transform; edge information; error diffusion; experiments; halftone image; highpass wavelet images; inverse halftoning; iterative methods; low pass filters; lowpass image; multiscale wavelet decomposition; nonorthogonal wavelets; wavelet-based approach; Background noise; Continuous wavelet transforms; Data mining; Discrete wavelet transforms; Facsimile; Frequency; Inverse problems; Iterative methods; Kernel; Rendering (computer graphics);

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.791977

Filename

791977