A New Adaptive Subband Thresholding Algorithm for Multistage Lattice VQ Image Coding

Author

Salleh, M.F.M. ; Soraghan, J.

Author_Institution

Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow

Volume

2

fYear

2006

fDate

14-19 May 2006

Abstract

In this paper a new adaptive subband thresholding algorithm is introduced for finding the optimize threshold values of the subbands. The search technique is exhaustive, where the distortion level and bit allocation are used as the limiting factors. The algorithm is applied in multistage lattice VQ (MLVQ) to enhance the PSNR performance. The MLVQ image coding technique reduces the quantization error of the quantized vectors by "blowing out" the residual quantization errors with a LVQ scale factor. Experimental results for images using the adaptive subband thresholding technique and the MLVQ are shown to be superior to those of JPEG2000 for a set of test images

Keywords

image coding; image segmentation; vector quantisation; JPEG2000; PSNR; adaptive subband thresholding algorithm; multistage lattice VQ image coding; quantization error; Adaptive signal processing; Bit rate; Frequency; Image coding; Lattices; Limiting; PSNR; Signal processing algorithms; Vector quantization; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660378

Filename

1660378