Title :
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
fDate :
6/1/1999 12:00:00 AM
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);
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
