Author: Chung-Yen ChiuPublisher:
ISBN:
Category :
Languages : en
Pages : 254
Book Description
Trellis Coded Quantization and Its Application to Image Coding
Author: Chung-Yen ChiuRobust Source Coding of Images with Predictive Trellis - Coded Quantization
Author: Lisa M. MarvelPublisher:
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.
Subband Image Coding Using Classification and Trellis Coded Quantization
Author: Rajan Laxman JoshiPublisher:
ISBN:
Category : Image compression
Languages : en
Pages : 260
Book Description
Adaptive Subband Image Coding Using Multiple Description Trellis-coded Quantization
Author: Jason T. JenTrellis Coded Vector Quantization for the Intraframe Coding of Images
Author: Todd Henry ChauvinPublisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 148
Book Description
Transform Coding of Images Using Fixed-rate and Entropy-constrained Trellis Coded Quantization
Author: Tong Kai-LoongWavelet-based Progressive Image and Video Coding Using Trellis-coded Space-frequency Quantization
Author: Pierre SeigneurbieuxPublisher:
ISBN:
Category :
Languages : en
Pages : 120
Book Description
Image compression using wavelet transform and trellis code vector quantization with entropy constraint
Author: Publisher:
ISBN:
Category :
Languages : pt-BR
Pages :
Book Description
Essa dissertação apresenta um codificador de imagens para baixas taxas de bits utilizando a decomposição da imagem em 10 sub-bandas através da aplicação da transformada wavelet. Uma técnica de redução de irrelevância visual é usada para descartar blocos de coeficientes das sub-bandas de alta freqüência (2 a 10). Os blocos remanescentes são classificados em bordas e não bordas e codificados através da técnica ECTCVQ (Entropy-Constrained Trellis Coded Vector Quantization). Já a primeira sub-banda é codificada através da técnica PTCQ(Predictive Trellis Coded Quantization) com preservação de bordas. Na alocação de bits entre as sub-bandas é utilizado o algoritmo de Wersterink et al. Os resultados obtidos mostram um desempenho muito superior ao padrão JPEG, e bons resultados quando comparados a técnica de codificação de imagens recentes.
Handbook of Image and Video Processing
Author: Alan C. BovikPublisher: Academic Press
ISBN: 0080533612
Category : Technology & Engineering
Languages : en
Pages : 1429
Book Description
55% new material in the latest edition of this "must-have for students and practitioners of image & video processing!This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource. • Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms • Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula • Covers the various image and video processing standards that exist and are emerging, driving today's explosive industry • Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived • Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data • Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the reader's own potential applications About the Editor... Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994.* No other resource for image and video processing contains the same breadth of up-to-date coverage* Each chapter written by one or several of the top experts working in that area* Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various, image-intensive disciplines
Author: Eric Allan Gifford