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Author: Kannan Panchapakesan Publisher: ISBN: Category : Coding theory Languages : en Pages : 166
Book Description
"Trellis coded quantization has recently evolved as a powerful quantization technique in the world of lossy image compression. The aim of this thesis is to investigate the potential of trellis coded quantization in conjunction with two of the most popular image transforms today; the discrete cosine transform and the discrete wavelet trans form. Trellis coded quantization is compared with traditional scalar quantization. The 4-state and the 8-state trellis coded quantizers are compared in an attempt to come up with a quantifiable difference in their performances. The use of pdf-optimized quantizers for trellis coded quantization is also studied. Results for the simulations performed on two gray-scale images at an uncoded bit rate of 0.48 bits/pixel are presented by way of reconstructed images and the respective peak signal-to-noise ratios. It is evident from the results obtained that trellis coded quantization outperforms scalar quantization in both the discrete cosine transform and the discrete wavelet transform domains. The reconstructed images suggest that there does not seem to be any considerable gain in going from a 4-state to a 8-state trellis coded quantizer. Results also suggest that considerable gain can be had by employing pdf-optimized quantizers for trellis coded quantization instead of uniform quantizers."--Abstract.
Author: Kannan Panchapakesan Publisher: ISBN: Category : Coding theory Languages : en Pages : 166
Book Description
"Trellis coded quantization has recently evolved as a powerful quantization technique in the world of lossy image compression. The aim of this thesis is to investigate the potential of trellis coded quantization in conjunction with two of the most popular image transforms today; the discrete cosine transform and the discrete wavelet trans form. Trellis coded quantization is compared with traditional scalar quantization. The 4-state and the 8-state trellis coded quantizers are compared in an attempt to come up with a quantifiable difference in their performances. The use of pdf-optimized quantizers for trellis coded quantization is also studied. Results for the simulations performed on two gray-scale images at an uncoded bit rate of 0.48 bits/pixel are presented by way of reconstructed images and the respective peak signal-to-noise ratios. It is evident from the results obtained that trellis coded quantization outperforms scalar quantization in both the discrete cosine transform and the discrete wavelet transform domains. The reconstructed images suggest that there does not seem to be any considerable gain in going from a 4-state to a 8-state trellis coded quantizer. Results also suggest that considerable gain can be had by employing pdf-optimized quantizers for trellis coded quantization instead of uniform quantizers."--Abstract.
Author: Lisa M. Marvel Publisher: ISBN: 9781423585046 Category : Languages : en Pages : 75
Book Description
The ability to transmit images over narrow bandwidth noisy channels has become desirable for many applications. Image integrity and timely transmission are imperative in many scenarios. The traditional method of image transmission requires a multistage process. The first stage is source coding, or the removal of redundancy, to compress the image for the narrow bandwidth channel. The second stage is channel coding, or the adding of redundant characters to protect the information from noise. This report pursues a method to perform robust source coding, providing both compression and noise mitigation. Specifically, Predictive Trellis Coding Quantization (PTCQ) incorporating various types of prediction filters is investigated. Trellis Coded Quanitization (TCQ) implies using an expanded set of quantization levels and the Viterbi algorithm to determine the minimal distortion path through a trellis, whose structure allows for low bit rate encoding. The prediction filter supplies correlation of the prediction differences and thereby provides the protection from noise at the decoder. PTCQ combines TCQ's encoding efficiency with predictive coding compression merits. Linear and nonlinear filter performance within the PTCQ scheme is shown under various channel conditions. Findings show that nonlinear filter implementation provides the highest noise immunity of those tested. The resulting algorithm is implementable in near real-time, allowing for the fast, efficient transmission of images over noisy channels.
Author: David Taubman Publisher: Springer Science & Business Media ISBN: 1461507995 Category : Computers Languages : en Pages : 780
Book Description
This is nothing less than a totally essential reference for engineers and researchers in any field of work that involves the use of compressed imagery. Beginning with a thorough and up-to-date overview of the fundamentals of image compression, the authors move on to provide a complete description of the JPEG2000 standard. They then devote space to the implementation and exploitation of that standard. The final section describes other key image compression systems. This work has specific applications for those involved in the development of software and hardware solutions for multimedia, internet, and medical imaging applications.
Author: Peter Schelkens Publisher: John Wiley & Sons ISBN: 9780470744628 Category : Technology & Engineering Languages : en Pages : 544
Book Description
The JPEG 2000 Suite provides a comprehensive overview of the baseline JPEG 2000 standard and its extensions. The first part of the book sets out the core coding system, additions to the standard and reference software. The second part discusses the successful deployment of JPEG 2000 in application domains such as video surveillance, digital cinema, digital television, medical imaging, defence imaging, security, geographic imaging and remote sensing, digital culture imaging and 3D graphics. The book also presents implementation strategies accompanied by existing software and hardware solutions. Describes secure JPEG 2000 (JPSEC), interactivity protocols (JPIP), volumetric image data compression (JP3D) and image compression in wireless environments (JPWL), amongst others. Uses a structure which allows for easy cross-reference with the components of the standard. Sets out practical implementation examples and results. Examines strategies for future image compression techniques, including Advanced Image Coding and JPEG XR. Includes contributions from international specialists in industry and academia who have worked on the development of the JPEG 2000 standard. Additional material can be found at www.jpeg.org. The JPEG 2000 Suite is an excellent introduction to the JPEG 2000 standard and is of great appeal to practising electronics engineers, researchers, and hardware and software developers using and developing image coding techniques. Graduate students taking courses on image compression, digital archiving, and data storage techniques will also find the book useful, as will graphic designers, artists, and decision makers in industries developing digital applications.
Author: Tinku Acharya Publisher: John Wiley & Sons ISBN: 0471653756 Category : Computers Languages : en Pages : 294
Book Description
JPEG2000 Standard for Image Compression presents readers with the basic background to this multimedia compression technique and prepares the reader for a detailed understanding of the JPEG2000 standard, using both the underlying theory and the principles behind the algorithms of the JPEG2000 standard for scalable image compression. It introduces the VLSI architectures and algorithms for implementation of the JPEG2000 standard in hardware (not available in the current literature), an important technology for a number of image processing applications and devices such as digital camera, color fax, printer, and scanners.
Author: Kannan Panchapakesan
Author: Kannan Panchapakesan
Author: 
Author: Michael W. Marcellin
Author: Lisa M. Marvel
Author: Chung-Yen Chiu
Author: Michael Wesley Marcellin
Author: David Taubman
Author: Rajan Laxman Joshi
Author: Peter Schelkens
Author: Tinku Acharya