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context coding of Depth Map Images Under the Piecewise-Constant Image Model Representation

IEEE TRANSACTIONS ON IMAGE PROCESSING 2013年第11期22卷 4195-4210页

作者： Tabus, Ioan Schiopu, Ionut Astola, Jaakko Tampere Univ Technol Dept Signal Proc Tampere 33720 Finland

This paper introduces an efficient method for lossless compression of depth map images, using the representation of a depth image in terms of three entities: 1) the crack-edges;2) the constant depth regions enclosed by them;and 3) the depth value over each region. The starting representation is identical with that used in a very efficient coder for palette images, the piecewise-constant image model coding, but the techniques used for coding the elements of the representation are more advanced and especially suitable for the type of redundancy present in depth images. Initially, the vertical and horizontal crack-edges separating the constant depth regions are transmitted by 2D context coding using optimally pruned context trees. Both the encoder and decoder can reconstruct the regions of constant depth from the transmitted crack-edge image. The depth value in a given region is encoded using the depth values of the neighboring regions already encoded, exploiting the natural smoothness of the depth variation, and the mutual exclusiveness of the values in neighboring regions. The encoding method is suitable for lossless compression of depth images, obtaining compression of about 10-65 times, and additionally can be used as the entropy coding stage for lossy depth compression.

关键词： Image coding context modeling depth map image context coding lossless depth compression lossy depth compression

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context Lossless coding of Audio Signals

Context Lossless Coding of Audio Signals

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Data Compression Conference (DCC)

作者： Ulacha, Grzegorz Stasinski, Ryszard West Pomeranian Univ Technol Zolnierska 49 PL-71210 Szczecin Poland Poznan Univ Tech PL-60365 Poznan Poland

ISBN: (纸本)9781467360371

In the paper improvements obtained for context lossless audio coding are investigated. The approach is not popular in audio compression, hence, the research concentrates on static forward predictors optimized using MMSE criterion. Two and three context algorithms are tested on 16 popular benchmark recordings. Savings due to inter-channel audio dependencies are also considered. It is shown that indeed, context approach has potential of improving data compaction properties of audio coding algorithms.

关键词： context coding lossless audio coding

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A new simple context lossless image coding algorithm based on adaptive context arithmetic coder

A new simple context lossless image coding algorithm based o...

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15th International Conference on Systems, Signals and Image Processing

作者： Ulacha, G. Stasinski, R. Tech Univ Szczecin Dept Comp Sci Zolnierska 49 PL-71210 Szczecin Poland Tech Univ Szczecin Fac Elect & Commun PL-71210 Szczecin Poland Poznan Univ Tech PL-60965 Poznan Poland

ISBN: (纸本)9788022728560

In the paper an effective context based lossless coding technique is presented. Three principal and one auxiliary contexts are defined. Cumulated predictor error combining 8 bias estimators is calculated. An adaptive context arithmetic coder is introduced. It is shown experimentally that the new technique is time-effective while it outperforms the well known methods having reasonable time complexity, and is inferior only to extremely computationally complex ones. http://***/stamp/***?tp=&arnumber=4604363

关键词： lossless image coding data modeling context coding cumulated predictor error arithmetic coder

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context Adaptive MPM coding for VVC

Context Adaptive MPM Coding for VVC

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International Workshop on Advanced Imaging Technology (IWAIT)

作者： Kim, Bumyoon Jeong, Hyunki Jeon, Byeungwoo Sungkyunkwan Univ Dept Elect & Comp Engn Suwon South Korea

ISBN: (数字)9781510679931

ISBN: (纸本)9781510679931;9781510679924

In VVC, the intra prediction mode of a block is encoded using the most probable mode (MPM). For this purpose, possible candidate modes for MPM are maintained in the MPM candidate list. The list is constructed differently depending on the number of neighboring angular intra prediction modes. While it is important to maintain a proper MPM candidate list, but how to encode the selected list index is also important. In this paper, we investigate on context coding of the MPM candidate list index instead of the current bypass-coding in VVC. The proposed method achieves a BDBR gain of 0.08% in the Y channel, and 0.10% and 0.06% respectively in the Cb and Cr channels.

关键词： versatile video coding video compression most probable modes intra mode coding context coding CABAC

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New context-Based Adaptive Linear Prediction Algorithm for Lossless Image coding

New Context-Based Adaptive Linear Prediction Algorithm for L...

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International Conference on Signals and Electronic Systems (ICSES)

作者： Ulacha, Grzegorz Stasinski, Ryszard West Pomeranian Univ Technol Dept Comp Sci Zolnierska 49 PL-71210 Szczecin Poland Poznan Univ Tech Fac Elect & Commun PL-60965 Poznan Poland

ISBN: (纸本)9781479970094

In the paper an improved context-Based Adaptive Linear Prediction (CoBALP_ultra) lossless image coding algorithm is presented. Three principal and few auxiliary contexts are defined. CoBALP stage is followed by two-step NLMS predictor, then cumulated predictor error is calculated on the basis of a new formula. It is shown experimentally that indeed, the new technique is time-effective while it outperforms the well known methods having reasonable time complexity, and is inferior only to extremely computationally complex ones.

关键词： Adaptive prediction context coding image lossless coding prediction error bias correction

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A New Fast Multi-context Method for Lossless Image coding 2018

A New Fast Multi-Context Method for Lossless Image Coding

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International Conference on Sensors, Signal and Image Processing (SSIP)

作者： Ulacha, Grzegorz Stasinski, Ryszard West Pomeranian Univ Technol Szczecin Fac Comp Sci & Informat Technol Zolnierska 49 PL-71210 Szczecin Poland Poznan Univ Tech Fac Elect & Commun Polanka 3 PL-60965 Poznan Poland

ISBN: (纸本)9781450366205

A new efficient and fast context lossless image coding method is presented in the paper, named Multi-ctx. High performance is obtained due to the fact that predictors are chosen from a very large database. On the other hand, simple rules determining contexts result in low computational complexity of the method. The technique can be easily adapted to specific class of applications, as the algorithm can be trained on a set of exemplary images. For the purpose of proving its potential it has been trained on a set of 45 images of various type, then its performance compared to that of some widely used fast techniques. Indeed, the new method appears to be the best, even better than CALIC approach.

关键词： Image coding lossless coding prediction image modelling context coding

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A New Simple context Lossless Image coding Algorithm Based on Adaptive context Arithmetic Coder

A New Simple Context Lossless Image Coding Algorithm Based o...

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International Conference on Systems, Signals and Image Processing

作者： G. Ulacha R. Stasinski Department of Computer Science and Faculty of Electronics and Communications Szczecin University of Technology and Poznan University of Technology Zolnierska 49 71-210 Szczecin Poland and Polanka 3 60-965 Poznan Poland

ISBN: (纸本)9788022728560

关键词： Lossless image coding Data modeling context coding Cumulated predictor error Arithmetic coder lossless image coding complexity classes Data modelling ENCODER arithmetic

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Using contexts and R-R interval estimation in lossless ECG compression

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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2002年第3期67卷 177-186页

作者： Giurcaneanu, CD Tabus, I Mereuta, S Tampere Univ Technol Signal Proc Lab FIN-33101 Tampere Finland

The paper presents a new lossless ECG compression scheme. The short-term predictor and the coder use conditioning on a small number of contexts. The long-term prediction is based on an algorithm for R-R interval estimation. Several QRS detection algorithms are investigated to select a low complexity and reliable detection algorithm. The coding of prediction residuals uses primarily the Golomb-Rice (GR) codes, but, to improve the coding results, escape codes GR-ESC are used in some contexts for a limited number of samples. Experimental results indicate the good overall performance of the lossless ECG compression algorithms (reducing the storage needs from 12 to about 3-4 bits per sample). The scheme consistently outperforms other waveform or general purpose coding algorithms. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved.

关键词： lossless coding R-R interval context coding escape codes

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Operational rate-distortion modeling for wavelet video coders

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2006年第9期54卷 3505-3517页

作者： Wang, Mingshi van der Schaar, Mihaela Univ Calif Davis Dept Elect & Comp Engn Davis CA 95616 USA Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

Based on our statistical investigation of a typical three-dimensional (3-D) wavelet codec, we present a unified mathematical model to describe its operational rate-distortion (RD) behavior. The quantization distortion of the reconstructed video frames is assessed by tracking the quantization noise along the 3-D wavelet decomposition trees. The coding bit-rate is estimated for a class of embedded video coders. Experimental results show that the model captures sequence characteristics accurately and reveals the relationship between wavelet decomposition levels and the overall RD performance. After being trained with offline RD data, the model enables accurate prediction of real RD performance of video codecs and therefore can enable optimal RD adaptation of the encoding parameters according to various network conditions.

关键词： context coding discrete wavelet transform (DWT) entropy rate-distortion function

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Low-Complexity Lossless Image coding

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AUTOMATIC CONTROL AND COMPUTER SCIENCES 2014年第5期48卷 303-311页

作者： Bocharova, I. E. Porov, A. V. Bondarev, T. S. Finkelshteyn, O. V. Natl Res Univ Informat Technol Mech & Opt Kronverksky Prosp 49 St Petersburg 197101 Russia

A new lossless image coding method competitive with the best known image coding techniques in terms of efficiency and complexity is suggested. It is based on adaptive color space transform, adaptive context coding, and improved prediction of pixel values of image color components. Examples of application of the new algorithm to a set of standard images are given and comparison with known algorithms is performed.

关键词： lossless compression linear prediction image coding context coding color space transform arithmetic coding

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