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9th International Conference on Signal Processing

作者： Lu, Tailong Shi, Yunhui Kong, Dehui Yin, Baocai Beijing Univ Technol Coll Comp Sci & Technol Beijing Key Lab Multimedia & Intelligent Software Beijing 100124 Peoples R China

ISBN: (纸本)9781424421787

This paper proposes a novel and efficient two-description image coding scheme in the wavelet domain. Here, each description includes one basic description produced by pairwise correlating transform (PCT) and one enhanced description formed by quincunx sub-sampling. First, we partition the low-frequency wavelet coefficients into two groups. Then the PCT was applied between the two groups to generate two new correlated groups as two basic descriptions, which are coded and transmitted through two separate channels. Second, we can get two enhanced descriptions from the high-frequency wavelet coefficients of the highest-level decomposition by quincunx sub-sampling. And the Wavelet Domain Interpolation for tree Reconstruction (WDIR) is used to conceal coefficients loss in Wavelet-Trees when one enhanced description lost during transmission. Experimental results demonstrate that the proposed MDC scheme can achieve good coding performance.

关键词： Pairwise correlating transform quincunx sub-sampling multiple description coding spatial orientation tree

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multiple description Image coding Using Dual-Tree Discrete Wavelet Transform

Multiple Description Image Coding Using Dual-Tree Discrete W...

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International Symposium on Intelligent Signal Processing and Communication Systems

作者： Li, Li Cai, Canhui Huaqiao Univ Sch Informat Sci & Engn Quanzhou 362021 Fujian Peoples R China

ISBN: (纸本)9781424450152

A novel multiple description image coding scheme, called dual-tree discrete wavelet transform based multiple description image coding is proposed. First, the 2D dual-tree discrete wavelet transform is applied to an image to produce 2 wavelet trees with complementary information. A noise-shaping algorithm is then employed to remove the redundancies of both trees and form the basic parts of two descriptions. A side noise shaping algorithm is proposed to draw the supplementary information for side decoding from the other tree. Basic information from one tree and supplementary from the other tree are grouped to form a description. Two descriptions are then dispatched from different channels. Because every description includes critical information of the picture, the reconstructed image from any single channel can have acceptable fidelity. The reconstructed image is of much better quality if both channels are available. Simulation results have demonstrated the performance of the proposed algorithm.

关键词： multiple description coding dual-tree complex wavelet transform noise shaping

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multiple description wavelet coding with dual decomposition and cross packetization

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Signal, Image and Video Processing 2007年第1期1卷 53-61页

作者： Cai, Canhui Chen, Jing Ma, Kai-Kuang Mitra, Sanjit K. Institute of Information Science and Engineering Huaqiao University Quanzhou Fujian 362021 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106-9560 United States

In this paper, a novel wavelet-based multiple description coding (MDC) is proposed with dual decomposition (DD) and cross packetization (CP). Through dual decomposition, each description has two parts, the primary and the complementary. The former contains the structural information, including the positions and signs of significant coefficients, whereas the latter contains the residual data, which are the absolute values of the significant coefficients' magnitude. The primary part is most crucial for source reconstruction;hence, their codes generated by the x-tree wavelet encoder are duplicated in both descriptions for heavy protection. On the other hand, the residual data are processed by the multiple description scalar quantizer to generate two indices for their respective descriptions as the complementary part. The proposed DD-MDC method effectively enhances error-resilience capability for robust transmission. For the packet-switching networks, the proposed CP, which produces the row packets and column packets for the two descriptions, respectively, is incorporated into the DD-MDC framework, leading to the DDCP-MDC scheme. Extensive simulation results have clearly shown that the proposed wavelet-based DD-MDC and DDCP-MDC methods are highly error resilient and consistently yield high coding gain;particularly, when only one description is available, the reconstructed image quality is superior to that obtained with other existing methods. © 2007 Springer-Verlag London Limited.

关键词： Decomposition Error-resilient coding multiple description coding Packet switching networks Packetization X-tree

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multiple description video coding based on balanced multiwavelet image transformation

Multiple description video coding based on balanced multiwav...

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Conference on Internet Imaging VI

作者： Liu, W Ma, ZM Tan, XJ Zhongshan Univ Dept Elect Informat Proc Lab Guangzhou 510275 Peoples R China

ISBN: (纸本)0819456438

A new MD (multiple description) video coding method, which is based on balanced multiwavelet image transformations, is proposed here. First, we apply balanced multiwavelet transformation to the image;then, corresponding components of each sub-band are gathered together, so that we can decompose the image into 4 MDs. By treating every frame of the video sequences like this, we can get a theme of MD video coding. A practical MD coding theme must satisfy two requirements. First, each description should carry the same amount of information. Secondly, there must be dependence between each description. Among commonly used multiwavelets, we find that only balanced multiwavelets can satisfy these two requirements. Furthermore, based on the feature of CARDBAL2 multiwavelet and strict mathematical deductions, we also find a way to estimate the lost descriptions. The experimental results presented in this paper show that, even when 75% of the data of the image are lost, we could still get a good-quality recovered image, with a PSNR value of nearly 30dB.

关键词： multiwavelet transformation multiple description coding network transmission

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A Selective Intra-coding Approach for multiple description Video coding 18

A Selective Intra-Coding Approach for Multiple Description V...

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18th IEEE International Symposium on Multimedia (IEEE ISM)

作者： Kazemi, Mohammad Iqbal, Razib Shirmohammadi, Shervin Univ Isfahan Dept Elect Engn Esfahan Iran Missouri State Univ Dept Comp Sci Missouri MO USA Univ Ottawa Sch EECS Ottawa ON Canada

ISBN: (纸本)9781509045716

multiple description coding (MDC) is a technique for video transmission over error prone networks where the descriptions are routed over multiple paths. Intra coding technique and MDC both provides error resiliency for real-time video transport over unreliable networks. In this paper, we present our investigation results for a new intra coding approach for MDC where selective frames are fully encoded in intra mode instead of coding selective macroblocks in intra mode in many frames. We implemented our scheme in the H.264/AVC reference software, JM16.0. Based on the experimental performance evaluation, we show that our method achieves higher average PSNR compared to the other optimized MDC schemes available in the literature.

关键词： multiple description coding intra coding error reslient coding

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multiple description IMAGE coding BASED ON COMPRESSION-GUIDED OPTIMIZATION

MULTIPLE DESCRIPTION IMAGE CODING BASED ON COMPRESSION-GUIDE...

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Picture coding Symposium (PCS)

作者： Zhu, Shuyuan He, Zhiying Meng, Xiandong Liu, Guanghui Zeng, Bing Univ Elect Sci & Technol China Chengdu Peoples R China Hong Kong Univ Sci & Technol Hong Kong Peoples R China

ISBN: (纸本)9781728147048

In this paper, we design a new multiple description coding scheme for image signals based on our proposed compression-guided optimization. Firstly, we propose a compression-constrained adaptive filtering method to produce two descriptions for the source image, where the proposed filtering algorithm works not only to guarantee a high-quality side decoding but also make a high-efficient central decoding. Secondly, we design a compression-dependent deblocking algorithm based on the transform coefficients which are decoded from both descriptions to improve the performance for the cental decoding. Experimental results demonstrate that our proposed method achieves impressive performance gains when it is applied to image signals.

关键词： multiple description coding compression interpolation filtering deblocking

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multiple description Audio coding for Wireless Low-Frequency Sound Zones

Multiple Description Audio Coding for Wireless Low-Frequency...

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Data Compression Conference (DCC)

作者： Ostergaard, Jan Pedersen, Christian Zhou, Mo de Koeijer, Niels Moller, Martin Aalborg Univ Fredrik Bajers Vej 7B DK-9000 Aalborg Denmark Bang & Olufsen Bang Olufsen Alle 1 DK-7600 Struer Denmark

ISBN: (纸本)9798350347951

We present a joint design of sound zone control filters and robust audio coding for wireless low frequency sound zones. The audio signal is filtered using sound zone control filters and encoded using a multiple-description coder. The control filters and the multiple-description coder are combined in a nested loop. The inner loop performs filtering for sound zone control and generates multiple descriptions using oversampling and closed-loop prediction. The outer loop performs noise shaping and guarantees a trade-off between robustness and quality of the descriptions. A closed-form expression for the optimal sound-zone control filters are provided, and a simulation study demonstrates that even at moderate packet loss rates, a significant gain is possible compared to not using multiple descriptions.

关键词： audio coding multiple description coding sound zones wireless streaming

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Scalable multiple description video coding for error-resilient transmission over hybrid networks

Scalable multiple description video coding for error-resilie...

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IEEE International Symposium on Consumer Electronics

作者： Stoufs, M. Bakker, D. Barbarien, J. Munteanu, A. Schelkens, P. Vrije Univ Brussels Interdisciplinary Inst Broadband Technol B-1050 Brussels Belgium

ISBN: (纸本)9781424424221

In this paper a scalable multiple description video coding approach based on embedded multiple description scalar quantization (EMDSQ) is presented. The proposed approach enables the progressive transmission of video over unreliable channels with variable bandwidth. Experimental results show that in lossy transmission conditions the proposed embedded multiple description coding system yields better rate-distortion performance compared to single description video coding and can efficiently sustain 20% of losses.

关键词： multiple description coding embedded multiple description scalar quantization (EMDSQ) scalable video coding

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A FAST DECODER FOR COMPRESSED SENSING BASED multiple description IMAGE coding

A FAST DECODER FOR COMPRESSED SENSING BASED MULTIPLE DESCRIP...

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16th IEEE International Conference on Image Processing

作者： Hyder, Md Mashud Mahata, Kaushik Univ Newcastle Sch Elect Engn & Comp Sci Callaghan NSW 2308 Australia

ISBN: (纸本)9781424456536

multiple description coding (MDC) offers an elegant approach to data transmission over lossy packet-based networks. This paper proposes an MDC decoder for Compressed Sensing (CS) based MDC. Our decoder minimizes l(0) norm of the total variation of the image in a recursive manner, making it effective when different descriptions experience different time delays in the network. The proposed approach brings in a significant performance improvement in reconstruction accuracy and reconstruction time.

关键词： multiple description coding compressed sensing minimization image coding

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Region of Interest (ROI) based Scalable multiple description Image coding using MDSQ-SR

Region of Interest (ROI) based Scalable Multiple Description...

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9th IEEE International Conference on Emerging Technologies (ICET)

作者： Sumbal, Ruhma Majid, Muhammad Anwar, Syed Muhammad Univ Engn & Technol Taxila Dept Comp Engn Taxila 47050 Pakistan

ISBN: (纸本)9781479934560;9781479934577

In this paper a novel region of interest (ROI) based scalable multiple description image coding technique using multiple description scalar quantizer with successive refinement (MDSQ-SR) is proposed. Visual attention model using graph based visual saliency is used to find the region of interest in the image. ROI based scalable multiple descriptions are then generated by selecting different refinement layers of the side quantizer of MDSQ-SR for the interested and uninterested regions of the image. More number of refinement layers are selected for the interested part as compared to the uninterested part. However, the different refinement layer selection is performed in such a way that the rate distortion constraints of the multiple description coding are satisfied i.e. the joint decoding quality is better than the side decoding quality at particular rate. The proposed scheme is evaluated under lossless and lossy channel conditions. In lossless channels conditions, PSNR of the decoded image using region of interest based scalable multiple description image coding is increased by 0.6 dB when compared with scalable multiple description image coding using MDSQ-SR. The average PSNR improvement of the proposed scheme is almost 0.7dB under lossy channel conditions.

关键词： Region of interest multiple description coding scalability reliability

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