BOOK-CHAPTER

An Integer Wavelet Transform Based Lossless Image Compression Technique Using Arithmetic Coding

Abstract

The volume of image data produced today is increasing, which makes storing and transferring them a difficult task. There are some fields where loss-less image compression can be valuable because it allows the compression of images without compromising their quality. In this paper, we propose a lossless image compression technique based on linear prediction, integer wavelet transformation (IWT), and Arithmetic coding to improve the compression ratio of lossless images. As compared to state-of-the-art algorithms, the proposed algorithm increases compression ratios by at least 2.553% and up to 32.546%.

Keywords:
Lossless compression Image compression Arithmetic coding Data compression Texture compression Data compression ratio Context-adaptive binary arithmetic coding Wavelet transform Computer science Algorithm Lossy compression Wavelet Artificial intelligence Mathematics Image (mathematics) Image processing

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.25
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Lossless Compression of Remote Sensing Image Using Integer Wavelet Transform

Zhang Xiao-ling WU Li-fang

Journal:   Yaogan jishu yu yingyong Year: 2012 Vol: 15 (3)Pages: 175-178
JOURNAL ARTICLE

Image compression using the wavelet transform and context-based arithmetic coding

Seungjong KimJechang Jeong

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 2002 Vol: 4875 Pages: 133-133
© 2026 ScienceGate Book Chapters — All rights reserved.