Variable rate vector quantization scheme based on quadtree segmentation

Author

Hu, Yu-Chen ; Chang, Chin-Chen

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chaiyi, Taiwan

Volume

45

Issue

2

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

310

Lastpage

317

Abstract

Quadtree segmentation is a hierarchical spatial decomposition technique that partitions an image into variable-sized blocks based on a quadtree structure. Different coding strategies can be adopted to encode blocks of different perceptual significance. In this paper, an novel variable rate vector quantization scheme based on quadtree segmentation is proposed with which low-detailed blocks are adaptively encoded by the mean-subsampled vector quantization while high-detailed blocks by the traditional vector quantization scheme. The simulation results show that the proposed variable-block-sized vector quantization scheme achieves better subjective image quality with higher PSNR at low bit rates

Keywords

adaptive codes; image coding; image sampling; image segmentation; quadtrees; vector quantisation; PSNR; adaptive encoding; broadcast video services; hierarchical spatial decomposition; high-detailed blocks; image coding; image segmentation; low bit rates; low-detailed blocks; mean-subsampled vector quantization; perceptual significance; quadtree segmentation; quadtree structure; simulation results; subjective image quality; variable rate vector quantization; variable-sized blocks; Bit rate; Computer science; Decoding; Image coding; Image quality; Image reconstruction; Image segmentation; PSNR; Vector quantization; Videoconference;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.793414

Filename

793414