Efficient compression of wavelet coefficients for smooth and fractal-like data

Čulík, Karel; Dube, Simant; Rajčáni, Peter

doi:10.1007/3-540-56503-5_35

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…For convenience, Culik et al's WFA will be referred to as a linear WFA while Hafner's (m)-WFA will be termed a hierarchic WFA due to its hierarchic nature. We note that a linear WFA may also be regarded as a generalised stochastic automaton [6], and can be used to represent real functions [7] and wavelet coefficients [8], to process images [9], as well as to recognise speech [10].…”

Section: Introductionmentioning

confidence: 99%

Similarity Enrichment in Image Compression through Weighted Finite Automata

Jiang¹,

Litow

Vel³

2000

Lecture Notes in Computer Science

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Abstract. We propose and study in details a similarity enrichment scheme for the application to the image compression through the extension of the weighted finite automata (WFA). We then develop a mechanism with which rich families of legitimate similarity images can be systematically created so as to reduce the overall WFA size, leading to an eventual better WFA-based compression performance. A number of desirable properties, including WFA of minimum states, have been established for a class of packed WFA. Moreover, a codec based on a special extended WFA is implemented to exemplify explicitly the performance gain due to extended WFA under otherwise the same conditions.

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Section: Introductionmentioning

confidence: 99%

Similarity Enrichment in Image Compression through Weighted Finite Automata

Jiang¹,

Litow

Vel³

2000

Lecture Notes in Computer Science

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Image compression using weighted finite automata

Čulík¹,

Kari²

1993

Computers & Graphics

117

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Self similar progressive image coding scheme for multimedia packet switching communications

Carlini

Giordano

Pagano

et al.

Proceedings IEEE International Conference on Communications ICC '95

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Connectionless services provided by best effort networks, such as SMDS and CBDS, are emerging in support of multicast real time communication over a global environment. A major role in the development of these services will be played by voice and video coding. The paper presents a novel coding approach for still images that combines a fractal approach with Wavelet Transform and multiresolution decomposition. A progressive coding is achieved finding self-similarities between different scale bands of the Wavelet pyramid. This coding technique has been successfully adopted over a regional wide IP environment where some users were connected by dial-up lines, several by N-ISDN and others through a LAN to LAN interconnection service provided by a regional DQDB MAN

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Efficient compression of wavelet coefficients for smooth and fractal-like data

Cited by 3 publications

References 7 publications

Similarity Enrichment in Image Compression through Weighted Finite Automata

Similarity Enrichment in Image Compression through Weighted Finite Automata

Image compression using weighted finite automata

Self similar progressive image coding scheme for multimedia packet switching communications

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