Adaptive multi-channel prediction for lossless scalable coding

Author

Fukuma, S. ; Iwahashi, M. ; Kambayashi, N.

Author_Institution

Dept. of Electr. Eng., Nagaoka Univ. of Technol., Niigata, Japan

Volume

4

fYear

1999

fDate

36342

Firstpage

467

Abstract

In this paper, a new lossless coding of images is proposed. The method has “scalability”, namely, it can expand a rough image from a part of the bit stream (compressed data) and also expand the original image from the rest. The new method is adaptive to locally varying characteristics such as “edge” in the input image. A new lossless “anti-aliasing” filter is designed to reduce the “aliasing” in the rough image. A lossless multi-channel non-separable 2D filter bank is applied and its filter coefficients are adaptively optimized for each of the pixels according to the local characteristics of the image. It is not necessary to include the coefficients into the bit stream since both of the encoder and the decoder employ the same procedure to calculate the coefficients. Experimental results are indicated to confirm its effectiveness

Keywords

FIR filters; adaptive filters; adaptive signal processing; filtering theory; image coding; prediction theory; adaptive multichannel prediction; anti-aliasing filter; filter coefficients; image local characteristic; lossless scalable coding; nonseparable 2D filter bank; Adaptive filters; Channel bank filters; Decoding; Filter bank; Finite impulse response filter; Image coding; Low pass filters; Nonlinear filters; Pulse modulation; Streaming media;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-5471-0

Type

conf

DOI

10.1109/ISCAS.1999.780043

Filename

780043