Subband Coding of Images Using Binomial QMF and Vector Quantization PDF Download

Author: Kannan Rajamani
Publisher:
ISBN:
Category : Image compression
Languages : en
Pages : 136

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Author: Saad John Bedros
Publisher:
ISBN:
Category :
Languages : en
Pages : 362

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Author: John W. Woods
Publisher: Springer Science & Business Media
ISBN: 1475721196
Category : Technology & Engineering
Languages : en
Pages : 365

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Book Description
This book concerns a new method of image data compression which weil may supplant the well-established block-transfonn methods that have been state-of-the art for the last 15 years. Subband image coding or SBC was first perfonned as such in 1985, and as the results became known at first through conference proceedings, and later through journal papers, the research community became excited about both the theoretical and practical aspects of this new approach. This excitement is continuing today, with many major research laboratories and research universities around the world investigating the subband approach to coding of color images, high resolution images, video- including video conferencing and advanced tele vision, and the medical application of picture archiving systems. Much of the fruits of this work is summarized in the eight chapters of this book which were written by leading practitioners in this field. The subband approach to image coding starts by passing the image through a two- or three-dimensional filter bank. The two-dimensional (2-D) case usually is hierarchical' consisting of two stages of four filters each. Thus the original image is split into 16 subband images, with each one decimated or subsampled by 4x4, resulting in a data conservation. The individual channel data is then quantized ·for digital transmission. In an attractive variation an octave-like approach, herein tenned subband pyramid, is taken for the decomposition resulting in a total of just eleven subbands.

Author: Yan Huat Sim
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 192

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Author: Jonathan Nelson Bradley
Publisher:
ISBN:
Category : Digital communications
Languages : en
Pages : 278

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Author:
Publisher:
ISBN:
Category :
Languages : pt-BR
Pages :

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Neste trabalho são examinados métodos de codificação de imagens em sub-bandas utilizando quantização vetorial inter-bandas para faixas abaixo de 1 bit/pixel. O espectro de freqüências da imagem é decomposto em 16 sub-bandas uniformes através de um banco de filtros espelhados em quadratura bi-dimensionais. As amostras dos sinais das 16 sub-bandas são usadas para compor um vetor de 16 componentes que, posteriormente, é codificado por um esquema de quantização vetorial (QV). Com o objetivo de reduzir a complexidade e o espaço de memória, são investigadas duas estruturas de quantização vetorial. Uma delas utiliza QV particionada, com o objetivo não só de reduzir a complexidade, como também de explorar as propriedades espectrais. A outra realiza a quantização vetorial direta, enquanto a complexidade é reduzida significativamente. Resultados de simulações são apresentados para as taxas de 0,50 bit/pixel, 0,63 bit/pixel e 0,75 bit/pixel. Uma análise comparativa mostra que o desempenho dos dois esquemas é comparável ao que utiliza quantização vetorial direta, enquanto a complexidade é reduzida significativamente. Resultados de simulações mostram ainda que, a taxas abaixo de 1 bit/pixel, não é recomendável o uso de QV inter-bandas particionada com alocação de bits adaptativa, nem de QV inter-bandas multi-estágios com busca em árvore. A técnica QV inter-bandas quando a sub-banda dominante é codificada separadamente através de um quantizador vetorial intra-banda. Considera-se a decomposição do espectro de freqüências em 16 sub-bandas uniformes e em 13 sub-bandas. Para a decomposição em 16 sub-bandas, esse esquema apresenta desempenho comparável à QV inter-bandas direta e complexidade equivalente à QV inter-bandas multi-estágios.

Author: T.A. Ramstad
Publisher: Elsevier
ISBN: 0080550851
Category : Computers
Languages : en
Pages : 397

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Book Description
Sixth in the book series, Advances in Image Communication, which documents the rapid advancements of recent years in image communication technologies, this volume provides a comprehensive exploration of subband coding.Originally, subband coding and transform coding were developed separately. The former, however, benefitted considerably from the earlier evolution of transform coding theory and practice. Retaining their own terminology and views, the two methods are closely related and this book indeed aims to unify the approaches. Specifically, the volume contributes effectively to the understanding of frequency domain coding techniques. Many images from coding experiments are presented, enabling the reader to consider the properties of different coders.Chapter 1 introduces the problem of image compression in general terms. Sampling of images and other fundamental concepts, such as entropy and the rate distortion function, are briefly reviewed. The idea of viewing coding techniques as series expansions is also introduced. The second chapter presents signal decomposition and the conditions for perfect reconstruction from minimum representations. Chapter 3 deals with filter bank structures, primarily those displaying the perfect reconstruction property. Quantization techniques and the efficient exploitation of the bit resources are discussed from a theoretical perspective in Chapter 4 and this issue is further examined in Chapter 6, from a more practical point of view. Chapter 5 provides a development of gain formulas, i.e. quantitative measures of the performance of filter banks in a subband coding context, and these are then employed in a search for optimal filter banks. A number of examples of coded images using different subband coders are presented in Chapter 7, these indicating that subband coders give rise to some characteristic types of image degradations. Accordingly, Chapter 8 presents several techniques for minimizing these artifacts. The theory and practice of subband coding of video, at several target bit rates, is discussed in the last chapter.

Author: Philippe Jeanrenaud
Publisher:
ISBN:
Category : Imaging systems
Languages : en
Pages : 126

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Author: Choon S. Kim
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 214

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Author: Robert E. Van Dyck
Publisher:
ISBN:
Category :
Languages : en
Pages : 398

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Book Description