Study of the Discrete Wavelet Transform Based on JPEG2000 Image Compression Algorithm

Article Preview

Abstract:

JPEG 2000 is a new image coding system that uses state-of-the-art compression techniques based on wavelet technology. As interactive multimedia technologies evolve, the requirements for the file format used to store the image data continue to evolve. The size and bit depth collected for an image to increase the resolution and extend the dynamic range and color gamut. Discrete Wavelet transform based embedded image coding method is the basis of JPEG2000. Image compression algorithm for the proper use and display of the image is a requirement for digital photography.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

411-415

Citation:

Online since:

November 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Michael Ray Peterson: Evolutionary Methodology for Optimization of ImageTransforms Subject to Quantization Noise[D], Department of Computer Science and Engineering, Wright State University, (2008).

Google Scholar

[2] W. Sweldens, The Lifting Scheme: A Custom-Design Construction of Biorthogonal Wavelets, ', Applied and Computational Harmonic Analysis, Vol. 3, NO. 15, pp.186-200, (1996).

DOI: 10.1006/acha.1996.0015

Google Scholar

[3] I. Daubechies and W. Sweldens, Factoring Wavelet Transforms into Lifting Schemes, The J. of Fourier Analysis and Applications, Vol. 4, pp.247-269, (1998).

DOI: 10.1007/bf02476026

Google Scholar

[4] JPEG2000 Final Committee Draft (FCD), JPEG2000 Committee Drafts, " The JPEG 2000 Image Coding Standard|Dr Dobb, s Journal[M] http: /www. jpeg. org/CDs15444. htm.

Google Scholar

[5] Puetter, Richard; Yahil, Amos: The Pixon Method for Data Compression Image Classification, and Image Reconstruction. Goddard Space Flight Center. Document ID: 20020052633; Report Number: UCSD-20-5313/CSS8397/28397A.

Google Scholar

[6] Ping-Sing Tsai: JPEG2000 Standard for Image Compression Concepts, Algorithms and VLSI Architectures, [M] A JOHN WILEY & SONS, INC., PUBLICATION (2005).

DOI: 10.1002/0471653748.ch9

Google Scholar

[7] Tuan Duong, Vu Duong, and Allen Stubberud: Object Recognition Using Feature-and Color-Based Methods, NASA Tech Briefs. Vol 10, 32-33(2008).

Google Scholar

[8] Janne Heikkila: Accurate camera calibration and feature based 3-D reconstruction frommonocular image sequences. Infotech Oulu and Department of Electrical Engineering, University of Oulu, ActaUniv. Oul. C 108, (1997).

Google Scholar