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Hybrid two-dimensional dual tree-biorthogonal wavelet transform and discrete wavelet transform with fuzzy inference filter for robust remote sensing image compression

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第6-Sup期22卷 13473-13486页

作者： Ilango, S. Sudhakar Seenivasagam, V. Madhumitha, R. Sri Krishna Coll Engn & Technol Dept CSE Coimbatore 641008 Tamil Nadu India Natl Engn Coll Dept IT Thoothukudi 628503 Tamil Nadu India

Image compression plays a crucial role in digital image processing, it is also very important for efficient transmission and storage of images. In particular, remote sensing makes it possible to collect image data on dangerous or inaccessible areas (in Roy et al. Signal Process 128: 262-273, 2016). The methods are introduced in previous research for the efficient image compression with less error rate. The existing method is named as 2D-dual tree-complex wavelet transform (2D-DT-CWT) with fuzzy inference filter (FIF) based image compression algorithm which is used for the aid of remote sensing image compression. However it has issue with time complexity and lack in robust compression ratios. To avoid the above mentioned issues, in the proposed system, the approach enhanced called as hybrid 2D-oriented biorthogonal wavelet transform (2D-BWT) by using Windowed all phase digital filter (WAPDF) based on discrete wavelet transform (DWT) for robust image compression algorithm. The proposed system contains modules such as image compression using 2D-DWT, 2D-BWT using WAPDF for improving transformation, coefficient selection using FIF. Then context-adaptive binary arithmetic coding (CABAC) with lattice vector quantization (LVQ) is proposed for encoding the wavelet significant coefficients. DWT is used to focus on the provision of high quality compression images and BWT is used to improve the transformation process. The experimental results show that hybrid-2D-BDWT can help in significant improvement of the transform coding gain, specifically for remote sensing images having good resolution. In this research, the comparison of the proposed work is done with the existing 2D-oriented wavelet transform (2D-OWT) and 2D-DT-CWT. Also, the new compression method is simple, and the memory requirement in the operation process is very less. It provides robust image compression ratio and high quality images using transformation methods.

关键词： Fuzzy inference filter Biorthogonal wavelet transform Discrete wavelet transform Windowed all phase digital filter lattice vector quantization Oriented wavelet transform

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An efficient quantization technique for wavelet coefficients of fingerprint images

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SIGNAL PROCESSING 1997年第3期62卷 361-366页

作者： Kasaei, S Deriche, M Boashash, B QUT SPRC Brisbane Qld 4001 Australia

In this paper, a novel quantization scheme for the wavelet coefficients is introduced. Using the wavelet packet transform (WPT) and lattice vector quantization (LVQ), we present here a new lattice optimization scheme based on an accurate model for the distribution of the wavelet coefficients. The model is based on the generalized gaussian distribution (GGD). A least squares algorithm on a non-linear function of the shape parameter is formulated to estimate the model parameters. The proposed algorithm adapts to non-stationarity in input images and to given bit rates. Compared to other wavelet-based algorithms, the technique proposed here results in higher reconstructed image qualities for identical bit rates. (C) 1997 Published by Elsevier Science B.V.

关键词： wavelet packet transform lattice vector quantization distribution model fingerprints

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Performance of quantizers on noisy channels using structured families of codes

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IEEE TRANSACTIONS ON INFORMATION THEORY 2000年第7期46卷 2468-2476页

作者： Méhes, A Zeger, K Royal Inst Technol Stockholm Sweden Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA

Achievable distortion bounds are derived for the cascade of structured families of binary linear channel codes and binary lattice vector quantizers. it is known that for the cascade of asymptotically good channel codes and asymptotically good vector quantizers the end-to-end distortion decays to zero exponentially fast as a function of the overall transmission rate, and is achieved by choosing a channel code rate that is independent of the overall transmission rate. We show that for certain families of practical channel codes and binary lattice vector quantizers, the overall distortion can be made to decay to zero exponentially fast as a function of the square root of transmission rate. This is achieved by carefully choosing a channel code rate that decays to zero as the transmission rate grows. Explicit channel code rate schedules are obtained for several well-known families of channel codes.

关键词： data compression lattice vector quantization linear error-correcting codes source and channel coding

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Bit-Plane Coding of lattice Codevectors

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2013年第8期E96A卷 1817-1820页

作者： Patchoo, Wisarn Fischer, Thomas R. Bangkok Univ Sch Engn Bangkok Thailand Washington State Univ Sch Elect Engn & Comp Sci Pullman WA 99164 USA

In a sign-magnitude representation of binary lattice codevectors, only a few least significant bit-planes are constrained due to the structure of the lattice, while there is no restriction on other more significant bit-planes. Hence, any convenient bit-plane coding method can be used to encode the lattice codevectors, with modification required only for the lattice-defining, least-significant bit-planes. Simple encoding methods for the lattice-defining bit-planes of the D-4, RE8, and Barnes-Wall 16-dimensional lattices are described. Simulation results for the encoding of a uniform source show that standard bit-plane coding together with the proposed encoding provide about the same performance as integer lattice vector quantization when the bit-stream is truncated. When the entire bit-stream is fully decoded, the granular gain of the lattice is realized.

关键词： lattice vector quantization lattice bit-plane coding

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Low-complexity indexing method for Zⁿ and D_n lattice quantizers

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IEEE TRANSACTIONS ON COMMUNICATIONS 1998年第12期46卷 1602-1609页

作者： Moureaux, JM Loyer, P Antonini, M Univ Nancy 1 CNRS CRAN UPRESA 7039 F-88100 St Die France Univ Nice CNRS I3S UPRESA 6070 F-06410 Biot France Univ Nice F-06560 Valbonne France

Code vector indexing is a key problem in lattice quantization applications. In order to solve this problem, we propose a method based on the idea of a coding table encompassing a set of points as small as possible. Our method works for both spherical and pyramidal code books. It provides a good tradeoff between computational complexity and storage requirements.

关键词： code vector indexing image coding lattice vector quantization

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LOW BIT-RATE VIDEO CODING USING WAVELET vector quantization

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IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING 1995年第3期142卷 141-148页

作者： SAMPSON, DG DASILVA, EAB GHANBARI, M Dept. of Electron. Syst. Eng. Essex Univ. Colchester UK

A method for low bit-rate video coding based on wavelet vector quantisation is proposed. Motion estimation/compensation using overlapped block matching (OEM) is employed to eliminate the blocking effects in the prediction error introduced by conventional block matching. It is shown that OEM significantly increases the efficiency of the wavelet transform coder. The motion-compensated interframe prediction error is decomposed using a wavelet transform and a method is employed for the efficient coding of the wavelet coefficients. In this technique, the coefficients are coded with a zero-tree multistage lattice vector quantiser. Simulation results are provided to evaluate the coding performance of the described coding scheme for low bit-rate video coding. It provides constant bit rate, obviating the need for buffer, with just small fluctuations in PSNR. Moreover, comparison with the RM8 implementation of the standard H261 video coder shows that the presented codec provides improvements in both peak signal-to-noise ratio and picture quality.

关键词： VIDEO CODING lattice vector quantization WAVELET TRANSFORMS

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Error-resilient pyramid vector quantization for image compression

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IEEE TRANSACTIONS ON IMAGE PROCESSING 1998年第10期7卷 1373-1386页

作者： Hung, AC Tsern, EK Meng, TH Intervideo Inc Fremont CA 94539 USA Rambus Inc Mountain View CA 94040 USA Stanford Univ Dept Elect Engn Stanford CA 94305 USA

Pyramid vector quantization (PVQ) uses the lattice points of a pyramidal shape in multidimensional space as the quantizer codebook, It is a fixed-rate quantization technique that can be used for the compression of Laplacian-like sources arising from transform and subband image coding, where its performance approaches the optimal entropy-coded scalar quantizer without the necessity of variable length codes. In this paper, we investigate the use of PVQ for compressed image transmission over noisy channels, where the fixed-rate quantization seduces the susceptibility to bit-error corruption. We propose a new method of deriving the indices of the lattice points of the multidimensional pyramid and describe how these techniques can also improve the channel noise immunity of general symmetric lattice quantizers. Our new indexing scheme improves channel robustness by up to 3 dB over previous indexing methods, and can be performed with similar computational rest. The final fixed-rate coding algorithm surpasses the performance of typical Joint Photographic Experts Group (JPEG) implementations and exhibits much greater error resilience.

关键词： channel optimization error resilience image compression lattice vector quantization pyramid vector quantization subband coding

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Advanced Packet-Video Coding Based on Layered VQ and SBC Techniques

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 1993年第3期3卷 208-221页

作者： Ohm, Jens-Rainer Tech Univ Berlin Inst Fernmeldetech Berlin Germany

vector quantization (VQ) and subband coding (SBC) are promising candidates for future generations of image coders: VQ is known to outperform scalar-quantization (SQ) techniques, and SBC overcomes the block-structure problem of discrete cosine transform (DCT) coders and has better energy-compaction properties. The paper compares the performances of two SBC-VQ schemes (a quadrature-mirror-filter (QMF)-based SBC with trained-codebook VQ and a parallel-filterbank SBC with lattice VQ) to that of a DCT-SQ scheme as it is used in present image-coding standards. Two-layer versions of these spatial coders were evaluated in a hybrid combination with motion-compensation prediction for interframe data compression. As the SBC scheme with lattice VQ was found to perform the best, this coding scheme was further investigated in combination with more sophisticated interframe-data-compression schemes. The motion-compensated 3-D SBC coder with lattice VQ was found to outperform the techniques used in current standard coders by several dB's in the compression of interlaced CCIR 601 sequences. The performance of this coder is extremely robust in the presence of asynchronous-transfer-mode (ATM) cell losses due to the nonrecursive decoder structure.

关键词： lattice vector quantization ENCODER vector quantization Video coding

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ANALYTICAL CODING OF GAUSSIAN SOURCES

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IEEE TRANSACTIONS ON INFORMATION THEORY 1994年第5期40卷 1639-1645页

作者： VOGEL, P Wohrletstrasse

Several procedures for encoding a stationary Gaussian source are investigated. In contrast to vector quantization by the LBG-algorithm, coding and rate-distortion performance can be described analytically due to the r... 详细信息

关键词： lattice vector quantization ANALYTICAL SOURCE CODING SPHERICAL CODES GAUSSIAN SOURCES REGULAR POLYTOPES REGULAR SIMPLEX

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Predictive side decoding for human-centered multiple description image coding

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EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2020年第1期2020卷 1-14页

作者： Xu, Yuanyuan Hohai Univ Coll Comp & Informat 8 Fo Cheng Rd Nanjing Peoples R China

Multiple description coding (MDC) provides a favorable solution for human-centered image communication, which takes into account people's varying watching situations as well as people's demand for real-time image display. As an effective technique for MDC, three-description lattice vector quantization (3D-LVQ) is considered for image coding in this paper. Based on intra- and inter-correlation in the 3D-LVQ index assignment as well as wavelet intra-subband correlation, a novel predictive decoding method for 3D-LVQ-based image coding is proposed to enhance side decoding performance, which attempts to predict lost descriptions (sublattice points) in a good way for better reconstructions of wavelet vectors (fine lattice points) in the side decoding. Experimental results validate effectiveness of the proposed decoding scheme in terms of rate-distortion performance.

关键词： Image coding Human-centered computing Multiple description coding lattice vector quantization

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