JPEG2000: the new still picture compression standard

Authors:
C. A. Christopoulos;T. Ebrahimi;A. N. Skodras
Affiliations:
Media Lab, Ericsson Research, Ericsson Radio Systems AB, S-16480 Stockholm, Sweden;Signal Processing Laboratory, EPFL, CH-1015 Lausanne, Switzerland;Electronics Laboratory, University of Patras, GR-26110 Patras, Greece
Venue:
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Year:
2000

Citing 2
Cited 6

An Overview of JPEG-2000

DCC '00 Proceedings of the Conference on Data Compression
Lossless Image Compression Using Integer to Integer Wavelet Transforms

ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1

Error resilient image transport in wireless sensor networks

Computer Networks: The International Journal of Computer and Telecommunications Networking
High efficiency EBCOT with parallel coding architecture for JPEG2000

EURASIP Journal on Applied Signal Processing
Signal compression method for biomedical image using the discrete orthogonal Gauss-Hermite transform

ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Frame Based Features

Speaker Classification I
A low-power parallel design of discrete wavelet transform using subthreshold voltage technology

CASES '08 Proceedings of the 2008 international conference on Compilers, architectures and synthesis for embedded systems
Energy efficient distributed image compression in resource-constrained multihop wireless networks

Computer Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an overview of the upcoming JPEG2000 still picture compression standard. JPEG2000 is not only intended to provide rate-distortion and subjective image quality performance superior to existing JPEG standard, but to also provide functionality that the current JPEG standard can either not address efficiently nor address at all. Lossless and lossy compression, encoding of very large images, progressive transmission by pixel accuracy and by resolution, robustness to the presence of bit-errors and region-of-interest coding, are some representative examples of its features.