A pyramidal image coder using generalized rank-ordered prediction filter

Author

Zhishi Peng ; Yih-Fang Huang ; Costello, D.J. ; Stevenson, R.L.

Author_Institution

Dept. of Electr. Eng., Notre Dame Univ., IN, USA

Volume

9

Issue

4

fYear

1999

fDate

6/1/1999 12:00:00 AM

Firstpage

540

Lastpage

544

Abstract

This paper presents a lossy image compression scheme that employs a generalized rank-ordered prediction filter for pyramidal image coding. The proposed prediction method renders significantly reduced variance of the quantizer input. Consequently, the quality of the decompressed image is much enhanced due to the greatly reduced quantization distortion. Both analytical and simulation results show that the proposed scheme yields high-quality performance.

Keywords

data compression; filtering theory; image coding; nonlinear filters; prediction theory; quantisation (signal); analytical results; decompressed image quality enhancement; generalized rank-ordered prediction filter; high-quality performance; image coder; lossy image compression scheme; pyramidal image coding; quantization distortion reduction; quantizer input; reduced variance; simulation results; Analytical models; Filtering; Filters; Image coding; Image segmentation; Nonlinear distortion; Performance analysis; Prediction methods; Quantization; Rendering (computer graphics);

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/76.767120

Filename

767120