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JPEG2000 encoding with perceptual distortion control

IEEE TRANSACTIONS ON IMAGE PROCESSING 2006年第7期15卷 1763-1778页

作者： Liu, Zhen Karam, Lina J. Watson, Andrew B. Qualcomm San Diego CA 92121 USA Arizona State Univ Dept Elect Engn Tempe AZ 85287 USA NASA Ames Res Ctr Moffett Field CA 94035 USA

In this paper, a new encoding approach is proposed to control the JPEG2000 encoding in order to reach a desired perceptual quality. The new method is based on a vision model that incorporates various masking effects of human visual perception and a perceptual distortion metric that takes spatial and spectral summation of individual quantization errors into account. Compared with the conventional rate-based distortion minimization JPEG2000 encoding, the new method provides a way to generate consistent quality images at a lower bit rate.

关键词： distortion control embedded coding human visual system (HVS) JPEG2000 perception

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Rate control optimization in embedded wavelet coding

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PATTERN RECOGNITION LETTERS 2003年第9-10期24卷 1469-1487页

作者： Garcia, JA Rodriguez-Sánchez, R Fdez-Valdivia, J Martinez-Baena, J Univ Granada ETS Ingn Informat Dept Ciencias Computac & IA E-18071 Granada Spain

To circumvent the lack of knowledge of what measure is more suitable for optimization of the trade-off between image fidelity and coding rate, this paper shall introduce a novel mathematical methodology for rate control by organizing the progressive transmission in accordance with coherence constraints for avoiding forms of behavioral inconsistency. This methodology could be used within a progressive transmission scheme to produce a new compression method (a rational embedded wavelet image coding). Here we compare a new coding scheme based on the proposed rate control technique against the state of art coder in progressive transmission and demonstrate its superior performance based on an objective criterion of evaluation. (C) 2002 Elsevier Science B.V. All rights reserved.

关键词： embedded coding rate control optimization progressive transmission utility functions distortion measures

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Progressive scalable interactive region-of-interest image coding using vector quantization

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IEEE TRANSACTIONS ON MULTIMEDIA 2005年第4期7卷 680-687页

作者： Ebrahimi-Moghadam, A Shirani, S McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4K1 Canada

We have developed novel progressive scalable region-of-interest (ROI) image compression schemes with rate-distortion-complexity tradeoff based on vector quantization. Residual vector quantization (RVQ) equips the encoder with a multi-resolution apparatus which is useful for rate-distortion tradeoff. Having all advantages of RVQ, jointly suboptimized RVQ provides a distortion-complexity adjustment. The systems are unbalanced in the sense that the decoder has less computational requirements than the encoder. The proposed jointly suboptimized RVQ method provides an interactive tool for fast ROI-based browsing from image archives.

关键词： embedded coding foveation image compression lossy compression region of interest scalability vector quantization

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embedded coding of palette images in the topological space

Embedded coding of palette images in the topological space

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Data Compression Conference (DCC 2002)

作者： Xin, L Sharp Labs Amer Camas WA 98607 USA

ISBN: (纸本)0769514774

Summary form only given. Most existing image coding techniques resolve the uncertainty of an image source on a pixel-by-pixel basis. We demonstrate the effectiveness of region-based image models for the class of palette images. We propose to represent the index map of a palette image by a collection of successively refined color regions, from which the original index map can be reconstructed without any error. Within the framework of region-based modeling, we present a conditional coding approach to avoid information leakage during the multiple passes. Motivated by the distinguished characteristics of palette images, we propose to exploit topological property of isolated uniform-color regions while resolving the uncertainty of region boundaries. Our region-based image model not only provides an embedded representation of palette images in the topological space but also achieves excellent compression performance.

关键词： image coding image colour analysis image reconstruction image representation data compression embedded coding palette images topological space image coding region-based modeling image source pixels conditional coding uniform-color regions region boundaries region-based image model image representation compression performance index map reconstruction

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Prioritization of compressed data by tissue type using JPEG2000

Prioritization of compressed data by tissue type using JPEG2...

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Medical Imaging 2005 Conference

作者： Krishnan, K Marcellin, MW Bilgin, A Nadar, M Univ Arizona Dept Elect & Comp Engn Signal Proc & Coding Lab Tucson AZ 85721 USA

ISBN: (纸本)0819457221

One of the goals of telemedicine is to enable remote visualization and browsing of medical volumes. Volume data is usually massive and is compressed so as to effectively utilize available network bandwidth. In our scenario, these compressed datasets are stored on a central data server and are transferred progressively to one or more clients over a network. In this paper, we study schemes that enable progressive delivery for visualization of medical volume data using JPEG2000. We then present a scheme for progressive encoding based on scene content, that enables a progression based on tissues or regions of interest in 3D medical imagery. The resulting compressed file is organized such that the tissues of interest appear in earlier segments of the bitstream. Hence a compliant decoder that chooses to stop transmission of data at a given instant would be able to render the tissue of interest with a better visual quality.

关键词： telemedicine JPEG2000 embedded coding scalable compression medical volume compression volume of interest interactive visualization DWT

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Lifted wavelet-based image dataset compression with column random access for image-based virtual environment navigation

Lifted wavelet-based image dataset compression with column r...

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4th IEEE International Workshop on Haptic Audio Visual Environments and Their Applications

作者： Jiang, KH Dubois, E Univ Ottawa Sch Informat Technol & Engn Ottawa ON K1N 6N5 Canada

ISBN: (纸本)0780393767

A lifted wavelet-based compression scheme with effective image-column random access for coding image datasets is proposed. This image dataset compression scheme is based on the approach of a lifted wavelet transform combined with embedded block entropy coding. This approach is adapted to compressing the image datasets used for image-based virtual environment navigation and facilitating a column random access mechanism. A specific data structure is designed to achieve efficient compression and accommodate column random access. The code stream syntax is constructed to efficiently assemble bit streams corresponding to the designed data structure. The two-level index tables in the code stream are used to assist random access. This image dataset compression scheme features a proper compromise between the coding efficiency and the random access flexibility, and thus ensures fast interactive image rendering. It reduces the decoding delay, simplifies the implementation of a random access mechanism and easily facilitates real-time image decoding. Experimental results of the software implementation of this image dataset compression scheme show its superior coding performance over the standard JPEG and JPEG 2000 schemes.

关键词： wavelet transform lifting scheme image dataset compression random access embedded coding

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Efficient, low-complexity image coding with a set-partitioning embedded block coder

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2004年第11期14卷 1219-1235页

作者： Pearlman, WA Islam, A Nagaraj, N Said, A Rensselaer Polytech Inst Dept Elect Comp & Syst Engn Troy NY 12180 USA Nokia Inc Irvington TX 75039 USA GE John F Welch Technol Ctr Bangalore 560066 Karnataka India Hewlett Packard Labs Palo Alto CA 94304 USA

We propose an embedded, block-based, image wavelet transform coding algorithm of low complexity. It uses a recursive set-partitioning procedure to sort subsets of wavelet coefficients by maximum magnitude with respect to thresholds that are integer powers of two. It exploits two fundamental characteristics of an image transform-the well-defined hierarchical structure, and energy clustering in frequency and in space. The two partition strategies allow for versatile and efficient coding of several image transform structures, including dyadic, blocks inside subbands, wavelet packets, and discrete cosine transform (DCT). We describe the use of this coding algorithm in several implementations, including reversible (lossless) coding and its adaptation for color images, and show extensive comparisons with other state-of-the-art coders, such as set partitioning in hierarchical trees (SPIHT) and JPEG2000. We conclude that this algorithm, in addition to being very flexible, retains all the desirable features of these algorithms and is highly competitive to them in compression efficiency.

关键词： color image coding embedded coding entropy coding hierarchical coding image coding lossless coding wavelet coding

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Trends and perspectives in image and video coding

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PROCEEDINGS OF THE IEEE 2005年第1期93卷 6-17页

作者： Sikora, T Tech Univ Berlin D-10587 Berlin Germany

The objective of the paper is to provide an overview on recent trends and future perspectives in image and video coding. Here, I review and the rapid development in the field during the past 40 years and outline current state-of-the art strategies for coding images and videos. These and other coding algorithms are discussed in the context of international JPEG, JPEG 2000, MPEG-1/2/4, and H.261/3/4 standards. Novel techniques targeted at achieving higher compression gains, error robustness, and network/device adapt-ability are described and discussed.

关键词： discrete cosine transform (DCT) distributed source coding embedded coding error concealment image coding International Telecommunication Union-Telecommunications (ITU-T) Joint Photographic Experts Group (JPEG) motion compensation JPEG 2000 Motion Picture Experts Group (MPEG) standardization video coding wavelets

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JPEG2000 COMPRESSION coding USING HUMAN VISUAL SYSTEM MODEL

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Journal of Electronics(China) 2005年第1期22卷 53-58页

作者： XiaoJiang WuChengke NationalKeyLaboratoryonISN XidianUniversityXi＇an710071China

In order to apply the Human Visual System (HVS) model to JPEG2000 standard,several implementation alternatives are discussed and a new scheme of visual optimization isintroduced with modifying the slope of rate-distortion. The novelty is that the method of visual weighting is not lifting the coefficients in wavelet domain, but is complemented by code stream organization. It remains all the features of embedded Block coding with Optimized Truncation (EBCOT) such as resolution progressive, good robust for error bit spread and compatibility of lossless compression. Well performed than other methods, it keeps the shortest standard codestream and decompression time and owns the ability of VIsual Progressive (VIP) coding.

关键词： JPEG2000 Contrast Sensitivity Function(CSF) The rate-distortion slope embedded coding Visual Progressive(VIP)

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Real-time ultra-low delay audio coding for wireless transmission

Real-time ultra-low delay audio coding for wireless transmis...

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2005 The 2nd IEE/EURASIP Conference on DSPenabledRadio (Ref. No. 2005/11086)

作者： G.Y. Luo Buckinghamshire Chilterns University College UK

ISBN: (纸本)0863415601

Encoding and decoding delays have become increasingly critical in real-time audio wireless applications. In order to maximize compression and minimize coding delays, this paper presents a two dimensional (2D) fast lifting wavelet technique with boundary effects minimized for very short block processing to achieve ultra low delay for wireless transmission. The 2D spatial-frequency processing of audio input signal fully exploits the correlation for better compression performance. A modified 2D embedded SPIHT (set partitioning in hierarchical trees) algorithm with more bits used to encode the wavelet coefficients and transmitting fewer bits in the sorting pass, is implemented to reduce the correlation between the coefficients at different decomposition levels and inside each band at scalable bit rates. The embedded coding offers the error resilience feature that is evaluated using a simulated transmission channel with random errors. In the face of transmission errors, joint source-channel SPIHT coding scheme for unequal error protection thus can be easily designed by varying both source coding bit rate and channel coding redundancy with added complexity and delay depending on the channel error degree. Experimental tests demonstrate that the proposed coder is efficient and has low complexity with less memory requirements in implementation.

关键词： Wireless transmission Audio compression 2D processing embedded coding Error Resilience WIRELESS TRANSMISSION error-resilience embedded encoding Audio compression Audio Bit rate coding memory requirements error protection delay Transmission channels

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