Journal ArticleDOI
An overview of the JPEG 2000 still image compression standard
Majid Rabbani,Rajan L. Joshi +1 more
TLDR
Although the JPEG 2000 standard only specifies the decoder and the codesteam syntax, the discussion will span both encoder and decoder issues to provide a better understanding of the standard in various applications.Abstract:
In 1996, the JPEG committee began to investigate possibilities for a new still image compression standard to serve current and future applications. This initiative, which was named JPEG 2000, has resulted in a comprehensive standard (ISO 15444∣ITU-T Recommendation T.800) that is being issued in six parts. Part 1, in the same vein as the JPEG baseline system, is aimed at minimal complexity and maximal interchange and was issued as an International Standard at the end of 2000. Parts 2–6 define extensions to both the compression technology and the file format and are currently in various stages of development. In this paper, a technical description of Part 1 of the JPEG 2000 standard is provided, and the rationale behind the selected technologies is explained. Although the JPEG 2000 standard only specifies the decoder and the codesteam syntax, the discussion will span both encoder and decoder issues to provide a better understanding of the standard in various applications.read more
Citations
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Journal ArticleDOI
Perceptual Blur and Ringing Metrics: Application to JPEG2000
TL;DR: A full- and no-reference blur metric as well as a full-reference ringing metric are presented, based on an analysis of the edges and adjacent regions in an image and have very low computational complexity.
Proceedings Article
Real-time adaptive image compression
Oren Rippel,Lubomir Bourdev +1 more
TL;DR: In this article, a machine learning-based approach to lossy image compression which outperforms all existing codecs, while running in real-time, is presented, which can encode or decode the Kodak dataset in around 10ms per image on GPU.
Posted Content
Real-Time Adaptive Image Compression
Oren Rippel,Lubomir Bourdev +1 more
TL;DR: A machine learning-based approach to lossy image compression which outperforms all existing codecs, while running in real-time, and supplementing the approach with adversarial training specialized towards use in a compression setting.
Journal ArticleDOI
JPEG2000: standard for interactive imaging
TL;DR: A tutorial-style review of the new JPEG2000, explaining the technology on which it is based and drawing comparisons with JPEG and other compression standards is provided.
References
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Journal ArticleDOI
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
Amir Said,William A. Pearlman +1 more
TL;DR: The image coding results, calculated from actual file sizes and images reconstructed by the decoding algorithm, are either comparable to or surpass previous results obtained through much more sophisticated and computationally complex methods.
Journal ArticleDOI
Embedded image coding using zerotrees of wavelet coefficients
TL;DR: The embedded zerotree wavelet algorithm (EZW) is a simple, yet remarkably effective, image compression algorithm, having the property that the bits in the bit stream are generated in order of importance, yielding a fully embedded code.
Journal ArticleDOI
Image coding using wavelet transform
TL;DR: A scheme for image compression that takes into account psychovisual features both in the space and frequency domains is proposed and it is shown that the wavelet transform is particularly well adapted to progressive transmission.
Book
JPEG: Still Image Data Compression Standard
TL;DR: This chapter discusses JPEG Syntax and Data Organization, the history of JPEG, and some of the aspects of the Human Visual Systems that make up JPEG.
Book ChapterDOI
Factoring wavelet transforms into lifting steps
Ingrid Daubechies,Wim Sweldens +1 more
TL;DR: In this paper, a self-contained derivation from basic principles such as the Euclidean algorithm, with a focus on applying it to wavelet filtering, is presented, which asymptotically reduces the computational complexity of the transform by a factor two.