Journal of Electronic Systems

DLINE Journals portal

Home

New Journals

Browse Journals

Journal Prices

For Authors

Print ISSN:
Online ISSN:

About JISM
	DLINE Portal Home Home Aims & Scope Editorial Board Current Issue Next Issue Previous Issue Sample Issue Upcoming Conferences Self-archiving policy Alert Services Be a Reviewer Publisher Paper Submission Subscription Contact us

How To Order
	Order Online Price Information Request for Complimentary Print Copy

For Authors
	Guidelines for Contributors Online Submission Call for Papers Author Rights

RELATED JOURNALS

Journal of Digital Information Management (JDIM)

Journal of Multimedia Processing and Technologies (JMPT)

International Journal of Web Application (IJWA)

Journal of Electronic Systems

Use of Wavelet Spectrum for Digital Image Compression

Teodora G. Sechkova, Ivo R. Draganov
The Faculty of Telecommunications, 8 Kliment Ohridski Blvd., 1000 Sofia, Bulgaria

Abstract: In this paper, we present a new method for digital image compression. This method involves dividing the wavelet spectrum into several sub-bands after a certain level of regular or irregular decay. Each sub-band is then decomposed using an inverse pyramid algorithm and a linear orthogonal transform like DCT. Depending on whether you want lossless compression or lossy compression, all or only some spectral coefficients of the inverse pyramid are retained. Entropy coding is then applied. Higher compression ratios are achieved at higher image quality levels than some popular algorithms from the practice.

Keywords: Image Compression, Wavelet, IPD, DCT Use of Wavelet Spectrum for Digital Image Compression

DOI:https://doi.org/10.6025/jes/2024/14/1/1-9

Full_Text PDF 1.39 MB Download: 37 times

References:

[1] Rao, K. R., Yip, P. (2001). The Transform and Data Compression Handbook. CRC Press.

[2] Wallace, G. (1992). The JPEG still picture compression standard. IEEE Transactions on Consumer Electronics, 38(1), 18-34.

[3] Walker, J., Nguyen, T. (2000). Wavelet-based image compression. In Handbook of Transforms and Data Compression (pp. 267-312). CRC Press.

[4] Jacob, S., Cheeran, A. (2010). Wavelet based image compression. In Proceedings of the International Conference and Workshop on Emerging Trends in Technology ICWET’10 (p. 999).

[5] Skodras, A., Christopoulos, C., Ebrahimi, T. (2001). The JPEG 2000 still image compression standard. IEEE Signal Processing Magazine, 18(5), 36-58.

[6] Kountchev, R., Kountcheva, R. (2008). Image representation with reduced spectrum pyramid. In Tsihrintzis, G., Virvou, M., Howlett, R., Jainm, L. (Eds.), New Directions in Intelligent Interactive Multimedia (pp. 275-284). Springer.

[7] Lura Tech. Retrieved from http://www.luratech.com

DLINE Journals portal