Search-order coding method with indicator-elimination property

Authors:
Chin-Chen Chang;Yung-Chen Chou;Yi-Pei Hsieh
Affiliations:
Department of Information Engineering and Computer Science, Feng Chia University, 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan, ROC and Department of Computer Science and Information Engineeri ...;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 62102, Taiwan, ROC;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 62102, Taiwan, ROC
Venue:
Journal of Systems and Software
Year:
2009

Citing 10
Cited 2

Introduction to data compression

Introduction to data compression
An Anomaly Intrusion Detection System Based on Vector Quantization

IEICE - Transactions on Information and Systems
Intelligent Multimedia Data Hiding: New Directions

Intelligent Multimedia Data Hiding: New Directions
Reversible Steganography for VQ-Compressed Images Using Side Matching and Relocation

IEEE Transactions on Information Forensics and Security
The JPEG2000 still image coding system: an overview

IEEE Transactions on Consumer Electronics
The JPEG still picture compression standard

IEEE Transactions on Consumer Electronics
Lossless compression of VQ index with search-order coding

IEEE Transactions on Image Processing
A new image coding algorithm using variable-rate side-match finite-state vector quantization

IEEE Transactions on Image Processing
Side match and overlap match vector quantizers for images

IEEE Transactions on Image Processing
Detection and correction of transmission errors in JPEG images

IEEE Transactions on Circuits and Systems for Video Technology

Fractal curves to improve the reversible data embedding for VQ-indexes based on locally adaptive coding

Journal of Visual Communication and Image Representation
A multipurpose audio aggregation watermarking based on multistage vector quantization

Multimedia Tools and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Vector quantization (VQ) is a widely used technique for many applications especially for lossy image compression. Since VQ significantly reduces the size of a digital image, it can save the costs of storage space and image delivery. Search-order coding (SOC) was proposed for improving the performance of VQ in terms of compression rate. However, SOC requires extra data (i.e. indicators) to indicate source of codewords so the compression rate may be affected. To overcome such a drawback, in this paper, a search-order coding with the indicator-elimination property was proposed by using a technique of reversible data hiding. The proposed method is the first one using such a concept of data hiding to achieve a better compression rate of SOC. From experimental results, the performance of the SOC method can be successfully improved by the proposed indicator eliminated search-order coding method in terms of compression rate. In addition, compared with other relevant schemes, the proposed method is also more flexible than some existing schemes.