Generalized statistical smoothing to the problem of inverse-halftoning for error diffusion

Author

Saika, Yohei ; Yamasaki, Tetsuya

Author_Institution

Wakayama Nat. Coll. of Technol., Wakayama

fYear

2007

fDate

17-20 Oct. 2007

Firstpage

781

Lastpage

784

Abstract

We improve the performance of the statistical smoothing to the problem of inverse-halftoning for error diffusion by introducing the general parameter scheduling. Then, using the numerical simulation for several gray-level images, we estimate the performance based on the mean square error, the histogram of the gray-level and the gray-levels on the segment across the edges of the original image. The simulations clarify that the performance of the statistical smoothing is improved by tuning the parameters of our model.

Keywords

control system synthesis; error analysis; inverse problems; mean square error methods; printing industry; scheduling; statistical analysis; error diffusion; general parameter scheduling; generalized statistical smoothing; gray-level images; histogram; inverse-halftoning problem; mean square error; numerical simulation; Computer errors; Educational institutions; Error correction; Filters; Histograms; Image reconstruction; Mean square error methods; Numerical simulation; Pixel; Smoothing methods; error diffusion; inverse-halftoning; print technology; statistical smoothing;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems, 2007. ICCAS '07. International Conference on

Conference_Location

Seoul

Print_ISBN

978-89-950038-6-2

Electronic_ISBN

978-89-950038-6-2

Type

conf

DOI

10.1109/ICCAS.2007.4407005

Filename

4407005