A fuzzy logic based predictor for predictive coding of images

Author

Yu, Tian-Hu

Author_Institution

Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong

Volume

2

fYear

1996

fDate

14-18 Oct 1996

Firstpage

1199

Abstract

In this paper we present a fuzzy logic based nonlinear predictor for predictive coding of images. We define five local structure patterns of images: uniform area, horizontal contour (0°), vertical contour (90°), 45° and 135° diagonal contours. Their membership functions are derived with the gradient-based edge detection method, and predicted values for different patterns are defined by linear extrapolation from available neighborhood pixel values. The predicted value of the current pixel can be obtained based on the membership functions and the defined predicted values for the different patterns. A set of parameters to characterize the proposed fuzzy predictor are determined from empirical data

Keywords

edge detection; extrapolation; fuzzy logic; image coding; prediction theory; diagonal contour; fuzzy logic based predictor; gradient-based edge detection method; horizontal contour; image coding; linear extrapolation; local structure patterns; membership functions; neighborhood pixel values; nonlinear predictor; predictive coding; uniform area; vertical contour; Data compression; Extrapolation; Fuzzy logic; Humans; Image coding; Marine vehicles; Neural networks; Pixel; Predictive coding; Pulse modulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.566348

Filename

566348