JOURNAL ARTICLE

Image Compression with Adaptive Arithmetic Coding

S. Nigar SulthanaMahesh Chandra

Year: 2010 Journal:   International Journal of Computer Applications Vol: 1 (18)Pages: 35-37

Abstract

An image compression method using the wavelet transform, zero tree coding and adaptive arithmetic coding has been proposed.Here a novel static zeroth order adaptive arithmetic coder is being explored to improve the compression ratio.The proposed method decomposes an image into several subband images using the discrete wavelet transform, decorrelated coefficients quantized by Shapiro"s embedded zerotree wavelet algorithm and encoded using static zeroth order adaptive arithmetic coder.The proposed static coder gives a better compression ratio while decreasing the coding time as compared to context based dynamic counterpart.The results obtained were comparable to those obtained by context modeling approach.

Keywords:
Computer science Arithmetic coding Coding (social sciences) Arithmetic Image compression Data compression Context-adaptive binary arithmetic coding Artificial intelligence Image (mathematics) Image processing Statistics Mathematics

Metrics

16
Cited By
0.96
FWCI (Field Weighted Citation Impact)
11
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

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
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing
© 2026 ScienceGate Book Chapters — All rights reserved.