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Image Sequence Coding by Vector Quantization

Image Sequence Coding by Vector Quantization PDF Author: Leslie D. Thede
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 4

Book Description


Image Sequence Coding by Vector Quantization

Image Sequence Coding by Vector Quantization PDF Author: Leslie D. Thede
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 4

Book Description


Adaptive Vector Quantization on Image Sequence Coding

Adaptive Vector Quantization on Image Sequence Coding PDF Author: Kyminh Liang
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 220

Book Description


Hierarchically Motion Compensated Image Sequence Coding with Tree Structured Vector Quantization

Hierarchically Motion Compensated Image Sequence Coding with Tree Structured Vector Quantization PDF Author: Ulug Bayazit
Publisher:
ISBN:
Category :
Languages : en
Pages : 92

Book Description


Wavelet Transform and Lattice Vector Quantization for Image Sequence Coding

Wavelet Transform and Lattice Vector Quantization for Image Sequence Coding PDF Author: T. Gaidon
Publisher:
ISBN:
Category :
Languages : en
Pages : 12

Book Description


Entropy-constrained Recursive Vector Quantization and Application to Image Sequence Coding

Entropy-constrained Recursive Vector Quantization and Application to Image Sequence Coding PDF Author: Majid Foodeei
Publisher:
ISBN:
Category :
Languages : en
Pages : 306

Book Description
"In this dissertation, we consider some classical problems in source coding theory in general and image sequence coding in particular. Shannon rate-distortion-function (RDF) provides the unbeatable lower bound for a source coder's performance with an arbitrary complexity. In theory, for most cases of interest, the RDF is only achievable in the limit of infinite delay. Practical communication systems impose constraints on the maximum coding delay and complexity. Hence the objective of source coding is to achieve performance closest to the RDF bound for a given delay and complexity. The fact that real-world input sources are usually nonstationary and have memory may make the achievement of the above objective more difficult." --

Vector Quantization and Signal Compression

Vector Quantization and Signal Compression PDF Author: Allen Gersho
Publisher: Springer Science & Business Media
ISBN: 146153626X
Category : Technology & Engineering
Languages : en
Pages : 737

Book Description
Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity.

Vector Quantization in Subband Coding of Images

Vector Quantization in Subband Coding of Images PDF Author: Saad John Bedros
Publisher:
ISBN:
Category :
Languages : en
Pages : 362

Book Description


Vector Quantization

Vector Quantization PDF Author: Hüseyin Abut
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 584

Book Description


Signal Processing of HDTV, V

Signal Processing of HDTV, V PDF Author: L. Stenger
Publisher: Elsevier
ISBN: 1483298515
Category : Technology & Engineering
Languages : en
Pages : 868

Book Description
In a world at the eve of digital television by satellite and cable, this publication provides a state-of-the-art exploration of the latest developments in HDTV technology. It highlights the technologies needed to launch HDTV from demonstration and trial status to that of a complete product and service. It also contributes towards the provision of the knowledge base required for the planning and management of the spectrum across the continents.Papers are sourced from a wide range of international experts in the field, including those from Canada, where, according to L. Chiariglione, ... An incredibly bold gamble, the progressive introduction of HDTV service on the [Canadian] terrestrial distribution network, additional to the existing TV service, has been proven to work and steps have been taken towards the full technical specification of the complete system. This publication aims to have the dream of interactive television take a leap forward into reality.

Signal Processing VI

Signal Processing VI PDF Author: J. Vandewalle
Publisher: Elsevier
ISBN: 0444600361
Category : Technology & Engineering
Languages : en
Pages : 681

Book Description
This was the sixth in the sequence of the international conferences promoted and organized by the European Association for Signal Processing. The conference has established itself as one of the world's largest and most important meetings on the subject. The 444 papers (in three volumes) are organized under 7 themes, containing the following topics:1. Theory of Signals and Systems:a) Detection, b) Estimation, c) Filtering, d)Spectral estimation, e) Adaptive systems, f) Modeling, g) Digital transforms, h) Digital filtering.2. Image Processing and Multidimensional Signal Processing:a) Coding, b) Enhancement, c) Restoration, d) Medical image processing.3. Speech Processing:a) Coding, b) Synthesis, c) Recognition and understanding, d) Enhancement.4. Implementations:a) Hardware, b) Software, c) VLSI, d) Novel Architectures, e) Array processing.5. Knowledge Engineering and Signal Processing:a) Expert systems, b) Pattern recognition, c) Signal interpretation, d) Image understanding.6. Neural Networks for Signal Processing:a) Theory, b) Speech, c) Vision, d) Implementations. 7. Applications:a) Radar, b) Sonar, c) Communications, d) Geophysics, e) Digital audio, f) Biomedics, g) Sensing, h) Robotics, i) Astrophysics, j) Mechanics, k) other. The diversity of topics in this 3-volume set, as well as the extraordinary tempo at which Signal Processing has progressed, attest to the permanent vitality of this area of research and development. Workers in signal processing will find in these papers the latest advances and results, as well as indications on future research and analysis in this rapidly developing field.