Digital image halftoning by noise thresholding

Author

Makur, Anamitra ; Raghuveer, M.R.

Author_Institution

Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India

Volume

4

fYear

1995

fDate

9-12 May 1995

Firstpage

2535

Abstract

Approaches for digital halftoning of images using dithering threshold the input image with additive dithering noise. The paper presents a technique which thresholds the noise directly. The threshold is modified at each step such that the expected value of the output is equal to the input pixel´s gray value. Further, error feedback is used to correct the threshold. Tests on images show the method´s ability to retain features in the high frequency regions such as edges as well as low frequency features such as slow variations in intensity. One advantage the proposed method is its very general nature since it offers a wide choice of the three filters: noise shaping filter, feedforward filter and feedback filter

Keywords

circuit feedback; coding errors; error statistics; feature extraction; feedforward; filtering theory; image coding; image segmentation; noise; additive dithering noise; digital image halftoning; dithering threshold; edges; error feedback; feedback filter; feedforward filter; high frequency regions; input image; input pixel gray value; low frequency features; noise shaping filter; noise thresholding; slow intensity variations; Additive noise; Digital images; Displays; Error correction; Feedback; Filters; Frequency; Image converters; Noise shaping; Pixel; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480065

Filename

480065