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bit-plane coding of Lattice Codevectors

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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A 3D-DCT video encoder using advanced coding techniques for low power mobile device

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JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2017年 48卷 122-135页

作者： Park, Jeoong Sung Ogunfunmi, Tokunbo Santa Clara Univ 500 El Camino Real Santa Clara CA 95053 USA

The three-dimensional discrete cosine transform (3D-DCT) has been researched as an alternative to existing dominant video standards based on motion estimation and compensation. Since it does not need to search macro block for inter/intra prediction, 3D-DCT has great advantages for complexity. However, it has not been developed well because of poor video quality while video standards such as H.263(+) and HEVC have been blooming. In this paper, we propose a new 3D-DCT video coding as a new video solution for low power mobile technologies such as Internet of Things (loT) and Drone. We focus on overcoming drawbacks reported in previous research. We build a complete 3D-DCT video coding system by adopting existing advanced techniques and devising new coding algorithms to improve overall performance of 3DDCT. Experimental results show proposed 3D-DO outperforms H.264 low power profiles while offering less complexity. From GBD-PSNR, proposed 3D-DO provides better performance by average 4.6 dB. (C) 2017 Elsevier Inc. All rights reserved.

关键词： 3D-DCT bit-plane coding Video compression for low power

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Analysis and application of lattice vector quantization using mixture models and bit-plane coding

Analysis and application of lattice vector quantization usin...

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作者： Patchoo, Wisarn Washington State University

学位级别：Ph.D.

This thesis studies lattice vector quantization (LVQ) with application to audio and im- age sources. The performance of nonzero pulse amplitude quantization implicit in alge- braic codebook code-excited linear prediction (ACELP) is examined and it is demonstrated that the quantization used in ACELP is effective in a rate-distortion sense at the encoding rates commonly used. A block-based Gaussian mixture model (GMM) is used to model the marginal distribution and the block energy distribution of transform audio data. The expectation-maximization algorithm is used to estimate the GMM parameters. A GMM- based rate-distortion function is derived and shown to closely match the observed spherical LVQ performance. Then, we move forward to the lattice VQ on transformed image. The GMM is used to motivate a subband image coding algorithm based on lattice-based spher- ical VQ and lattice-based pyramid VQ. The algorithm partitions a subband image into blocks of various sizes, depending on their energy and complexity constraints on the enu- meration encoding of lattice codevectors. Using the cubic lattice, the algorithm provides performance competitive with the set partitioning in hierarchical trees (SPIHT) algorithm. A bit-plane coding method is developed for the encoding of binary lattice codevectors as binary codewords, yieldingan embedded bitstream. In sign-magnituderepresentation, 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. Simple encoding methods for the lattice-defining bit-planes of the D4, RE8, and Barnes-Wall 16-dimensional lattices are described. Simulation results for these lattices show that partial decoding of the resulting embedded bitstream provides about the same performance as for the integer lattice. When the entire bitstream is fully decoded, the granular gain of the lattice is realized.

关键词： Electrical engineering bit-plane coding Lattice Lattice Vector Quantization Mixture Models

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An efficient hardware implementation of parallel EBCOT algorithm for JPEG 2000

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JOURNAL OF REAL-TIME IMAGE PROCESSING 2016年第1期11卷 63-74页

作者： Saidani, Taoufik Atri, Mohamed Khriji, Lazhar Tourki, Rached Monastir Univ Fac Sci Elect & Microelect Lab Monastir Tunisia Sultan Qaboos Univ Dept Elect & Comp Engn Muscat Oman

With the augmentation in multimedia technology, demand for high-speed real-time image compression systems has also increased. JPEG 2000 still image compression standard is developed to accommodate such application requirements. Embedded block coding with optimal truncation (EBCOT) is an essential and computationally very demanding part of the compression process of JPEG 2000 image compression standard. Various applications, such as satellite imagery, medical imaging, digital cinema, and others, require high speed and performance EBCOT architecture. In JPEG 2000 standard, the context formation block of EBCOT tier-1 contains high complexity computation and also becomes the bottleneck in this system. In this paper, we propose a fast and efficient VLSI hardware architecture design of context formation for EBCOT tier-1. A high-speed parallel bit-plane coding (BPC) hardware architecture for the EBCOT module in JPEG 2000 is proposed and implemented. Experimental results show that our design outperforms well-known techniques with respect to the processing time. It can reach 70 % reduction when compared to bit plane sequential processing.

关键词： JPEG 2000 EBCOT algorithm bit-plane coding VHDL FPGA implementation

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NEW bit-plane PROBABILITY CALCULATIONS FOR SCALABLE TO LOSSLESS AUDIO coding

NEW BIT-PLANE PROBABILITY CALCULATIONS FOR SCALABLE TO LOSSL...

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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： Movassagh, Mahmood Kabal, Peter McGill Univ Dept Elect & Comp Engn Montreal PQ Canada

ISBN: (纸本)9781479928934

Considering the properties of the residual signal, core-based bit-plane probabilities are provided for MPEG-4 Audio Scalable to Lossless coding (SLS), which matches the quantization and coding performed in the core layer. Using the same strategy, new probabilities are obtained to consider the clipping effect in bit-plane coding of an unbounded signal, which is useful for non-core mode of SLS coding. Simulations show that considering the core layer parameters and the clipping effect improve the bit-plane probabilities estimation compared to the existing method.

关键词： Scalable Audio coding Quantization bit-plane coding Arithmetic coding AAC SLS

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NEW bit-plane PROBABILITY CALCULATIONS FOR SCALABLE TO LOSSLESS AUDIO coding

NEW BIT-PLANE PROBABILITY CALCULATIONS FOR SCALABLE TO LOSSL...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Mahmood Movassagh Peter Kabal Department of Electrical and Computer Engineering McGill University Montreal Canada

ISBN: (纸本)9781479928941

关键词： Audio bit-plane coding Selective laser sintering CORE LAYER Quantization Probability clipping Line clipping Lossless lossless coding lossless compression residual signal

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bit-plane ARITHMETIC coding FOR LAPLACIAN SOURCE

BIT-PLANE ARITHMETIC CODING FOR LAPLACIAN SOURCE

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2010 IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Huang, H. Shu, H. Rahardja, S. ASTAR Inst Infocomm Res Singapore Singapore

ISBN: (纸本)9781424442966

For bit-plane coding of random source, we establish a relationship between the probability density function of an arbitrary non-negative distribution and the bit-plane symbol probability. Applied to Laplacian source, the relationship gives a simple, closed form of bit-plane symbol probability, which is a superset of the probability assignment rule adopted in the MPEG-4 Audio Scalable Lossless coding (SLS) international standard. For bit-plane arithmetic coding of Laplacian source, we propose an algorithm and apply it to MPEG-4 SLS. Experimental results show that without changing the encoder/decoder complexity, the proposed algorithm consistently improved the compression ratio over SLS for all the 51 MPEG test sequences. The overall improvement in the compression ratio is 0.11%.

关键词： bit-plane coding bit-plane probability Scalable coding Laplacian distribution MPEG-4 SLS

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IMPROVING DISTRIBUTED VIDEO coding BY EXPLOITING CONTEXT-ADAPTIVE MODELING

IMPROVING DISTRIBUTED VIDEO CODING BY EXPLOITING CONTEXT-ADA...

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IEEE International Conference on Multimedia and Expo Workshops (ICMEW)

作者： Qing, Linbo Zeng, Wenjun Sichuan Univ Chengdu 610065 Peoples R China Univ Missouri Columbia MO 65211 USA

ISBN: (纸本)9781479947614

The statistical model of the bits to be encoded is crucial for the coding performance of distributed video coding (DVC). In this paper, a bit-level context-adaptive correlation model is proposed to exploit high-order statistical correlation for better channel coding performance, which consequently improves the video coding efficiency. In the proposed scheme, the wavelet domain DVC is considered and the coefficients are coded in a bit-plane fashion. The context for each bit to be coded is first formed. Then the probability distribution of each bit is estimated by using previously available data with the same context. For magnitude coding, the significant state of the following elements are included in the context, (1) the side information, (2) the local neighborhood, (3) the parent coefficients (if applicable). The condition of side information is considered as well. For sign coding, the context consists of the sign and the quality of the side information. The proposed model is implemented within a recently proposed DVC framework with decoder-side multi-resolution motion refinement (MRMR). Experimental results show the effectiveness of the proposed scheme with significant coding gain over the original MRMR based DVC system, especially for videos with high motion intensity and for lower bit rates.

关键词： Distributed video coding bit-plane coding context-adaptive model significant state multi-resolution motion refinement

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bit-plane ARITHMETIC coding FOR LAPLACIAN SOURCE

BIT-PLANE ARITHMETIC CODING FOR LAPLACIAN SOURCE

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： H. Huang H. Shu S. Rahardja Institute for Infocomm Research Agency for Science Technology and Research (A*STAR) Singapore

ISBN: (纸本)9781424442959

For bit-plane coding of random source, we establish a relationship between the probability density function of an arbitrary non-negative distribution and the bit-plane symbol probability. Applied to Laplacian source, the relationship gives a simple, closed form of bit-plane symbol probability, which is a superset of the probability assignment rule adopted in the MPEG-4 Audio Scalable Lossless coding (SLS) international standard. For bit-plane arithmetic coding of Laplacian source, we propose an algorithm and apply it to MPEG4 SLS. Experimental results show that without changing the encoder/decoder complexity, the proposed algorithm consistently improved the compression ratio over SLS for all the 51 MPEG test sequences. The overall improvement in the compression ratio is 0.11percent.

关键词： bit-plane coding bit-plane probability Scalable coding Laplacian distribution MPEG-4 SLS bit-plane coding compression ratio Scalable coding Laplacian operator Selective laser sintering arithmetic MPEG 4 Standard Probability density function Superset closed forms

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Wavelet image compression algorithm based on bit-plane coding and optimization implementation on multiple dsp platform

Wavelet image compression algorithm based on bit-plane codin...

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IEEE International Workshop on Imaging Systems and Techniques

作者： Wang Kun Wang Qingyuan BeiJing Inst Space Machinery & Elect Beijing Peoples R China

ISBN: (纸本)9781424434824

An innovative embedded algorithm based on context model using neighboring coefficients and parent coefficients is proposed, which can implement real-time image processing and can achieve high fidelity. By analyzing the algorithm and implementation, it is found that the wavelet transform and bit-plane prediction have a great perplexity which can not be implemented efficiently. Based on multiple DSP hardware platforms, a architecture using parallelism and pipelining technology is present, which can reduce computation complexity and improve encoding efficiency. Experiment results show that the algorithm can achieve higher performance than JPEG2000 in terms of image quality and operating speed.

关键词： context model bit-plane coding image compression optimization implementation

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