Journal ArticleDOI
Comparison of international standards for lossless still image compression
R.B. Arps,T.K. Truong +1 more
- Vol. 82, Iss: 6, pp 113-123
TLDR
This overview focuses on a comparison of lossless compression capabilities of the international standard algorithms for still image compression known as MH, MR, MMR, JBIG, and JPEC.Abstract:
This overview focuses on a comparison of lossless compression capabilities of the international standard algorithms for still image compression known as MH, MR, MMR, JBIG, and JPEC. Where the algorithms have parameters to select, these parameters have been carefully set to achieve maximal compression. Compression variations due to differences in data are illustrated and scaling of these compression results with spatial resolution or amplitude precision are explored. These algorithms are also summarized in terms of the compression technology they utilize, with further references given for precise technical details and the specific international standards involved. >read more
Citations
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Book
Introduction to data compression
TL;DR: The author explains the development of the Huffman Coding Algorithm and some of the techniques used in its implementation, as well as some of its applications, including Image Compression, which is based on the JBIG standard.
Journal ArticleDOI
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS
TL;DR: LOCO-I as discussed by the authors is a low complexity projection of the universal context modeling paradigm, matching its modeling unit to a simple coding unit, which is based on a simple fixed context model, which approaches the capability of more complex universal techniques for capturing high-order dependencies.
Journal ArticleDOI
The statistics of natural images
TL;DR: Recently, there has been a resurgence of interest in the properties of natural images as mentioned in this paper, which can be viewed as satisfying certain "design criteria" such as invariance to scale.
Proceedings ArticleDOI
CREW: Compression with Reversible Embedded Wavelets
TL;DR: CREW provides state of the art lossless compression of medical images (greater than 8 bits deep), and lossy and lossed compression of 8 bit deep images with a single system.
Journal ArticleDOI
Applications of universal context modeling to lossless compression of gray-scale images
TL;DR: The sequential, lossless compression schemes obtained when the context modeler is used with an arithmetic coder, are tested with a representative set of gray-scale images and the compression ratios are compared with state-of-the-art algorithms available in the literature.
References
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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.
Journal ArticleDOI
Generalized kraft inequality and arithmetic coding
TL;DR: This coding technique requires no blocking, and the per-symbol length of the encoded string approaches the associated entropy within ∈, which is comparable to that of conventional coding methods.
Journal ArticleDOI
Compression of Black-White Images with Arithmetic Coding
G. Langdon,Jorma Rissanen +1 more
TL;DR: A new approach for black and white image compression is described, with which the eight CCITT test documents can be compressed in a lossless manner 20-30 percent better than with the best existing compression algorithms.
Journal ArticleDOI
An overview of the basic principles of the Q-Coder adaptive binary arithmetic coder
TL;DR: The Q-Coder as mentioned in this paper is a new form of adaptive binary arithmetic coding, which is derived from the basic concepts introduced by Rissanen, Pasco, and Langdon, but extends the coding conventions to resolve a conflict between optimal software and hardware implementations.
Journal ArticleDOI
International digital facsimile coding standards
R. Hunter,A.H. Robinson +1 more
TL;DR: The coding schemes in detail are described in detail and the factors which led to their choice are discussed, and the performance of the codes is assessed, particularly in relation to their compression efficiency and vulnerability to transmission errors.