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检索条件"主题词=Lossless coding"

共 166 条记录，以下是41-50 订阅

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lossless Image coding Based on Probability Modeling Using Template Matching and Linear Prediction

Lossless Image Coding Based on Probability Modeling Using Te...

引用

10th Anniversary International Workshop on Smart Info-Media Systems in Asia (SISA)

作者： Sumi, Toru Inamura, Yuta Kameda, Yusuke Ishikawa, Tomokazu Matsuda, Ichiro Itoh, Susumu Tokyo Univ Sci Noda Chiba 2788510 Japan

We previously proposed a lossless image coding scheme using example-based probability modeling, wherein the probability density function of image signals was dynamically modeled pel-by-pel. To appropriately estimate the peak positions of the probability model, several examples, i.e., sets of pels whose neighborhoods are similar to the local texture of the target pel to be encoded, were collected from the already encoded causal area via template matching. This scheme primarily makes use of non-local information in image signals. In this study, we introduce a prediction technique into the probability modeling to offer a better trade-off between the local and non-local information in the image signals.

关键词： lossless coding still-image coding template matching probability modeling linear prediction

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Texture matching method for lossless image coding

Texture matching method for lossless image coding

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Joint Meeting of the 14th International Workshop on Systems, Signals and Image Processing/EURASIP Conference Focused on Speech and Image Processing, Multimedia Communications and Services

作者： Ulacha, G. Stasinski, R. Tech Univ Szczecin Dept Comp Sci Zolmierska 49 Szczecin Poland Poznan Univ Tech Dept Elect & Telecommun PL-60965 Poznan Poland

ISBN: (纸本)9789612480363

The new predictor-based lossless image coding technique is described in the paper. The technique is optimized for coding of images containing large areas of regular texture, and indeed, it is shown that in such cases it is even better than preprocessing stages of renown coding methods, like CALIC or LOCO-I. The technique is intended to be used as a specialized part of predictor blending method.

关键词： lossless coding predictor blending texture coding

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lossless VIDEO coding BASED ON PROBABILITY MODEL OPTIMIZATION UTILIZING EXAMPLE SEARCH AND ADAPTIVE PREDICTION

LOSSLESS VIDEO CODING BASED ON PROBABILITY MODEL OPTIMIZATIO...

引用

IEEE International Conference on Image Processing (ICIP)

作者： Unno, Kyohei Nemoto, Koji Kameda, Yusuke Matsuda, Ichiro Itoh, Susumu Naito, Sei KDDI Res Inc 2-1-15 Ohara Fujimino Saitama 3568502 Japan Tokyo Univ Sci Fac Sci & Technol Tokyo Japan

ISBN: (纸本)9781728163956

We previously proposed a novel lossless coding method that utilizes example search and adaptive prediction within a framework of probability model optimization for still images. Additionally, we also proposed a lossless video coding method where the example search is performed on not only the current but also the previous frames to exploit intra- and inter-frame correlations. In this paper, we integrate these two methods for efficient lossless video coding. Moreover, we extend the adaptive prediction to exploit both spatial and temporal correlations simultaneously. In other words, reference pels used for the prediction are taken from both the current and the motion-compensated previous frames, and their weights, i.e. prediction coefficients, are trained pel-by-pel in a weighted least square manner. The experimental results show that the proposed method achieves better coding performance than the VVC-based lossless video coding scheme.

关键词： lossless coding example search affine prediction probability modeling quasi-Newton method

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lossless Image coding Based on Inter-color Prediction for Ultra High Definition Image

Lossless Image Coding Based on Inter-color Prediction for Ul...

引用

5th Pacific-Rim Symposium on Video and Image Technology

作者： Park, Jiho Kim, Je Woo Jeong, Jechang Choi, Byeongho KETI Multimedia IP Res Ctr 25 Saenari Ro Yatap Dong Songnam 463816 Gyeonggi Do South Korea Hanyang Univ Dept Elect & Comp Engn Seoul 133791 South Korea

ISBN: (纸本)9783642253454

This paper addresses the lossless image coding for ultra-high definition television system which supports 4K (4096x2160) resolution image with 22.2ch audio. Ultra High Definition Tele-vision system is being developed to satisfy end-user who has a longing for higher resolution, higher quality, and higher fidelity picture and sound. However, the major characteristic of Ultra High Definition Tele-vision system is considerably huge input information must be processed in real-time compare to conventional systems. Therefore high speed data handling for editing and playing, high speed signal interface between devices and real-time source codecs without delay for saving memory space are unavoidable requirements of ultra-high system. This paper focused on lossless image codec for the reason of real-time processing with reasonable coding gain and the proposed algorithms is pixel based algorithms called spatio-color prediction. The proposed algorithm uses inter-color correlation with spatial correlation appropriately and it shows 5.5% coding efficiency improvement compare to JPEG-LS. The simulation was performed using 4K resolution RGB 10bit images and it is claimed that the proposed lossless coding was verified under the developed Ultra High Definition Tele-vision system.

关键词： lossless coding ultra high definition high-fidelity inter-color

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AVE-WLS Method for lossless Image coding 10th

AVE-WLS Method for Lossless Image Coding

引用

10th International Conference on Image and Graphics (ICIG)

作者： Ulacha, Grzegorz Stasinski, Ryszard West Pomeranian Univ Technol Szczecin Poland Poznan Univ Tech Poznan Poland

ISBN: (纸本)9783030341138;9783030341121

In the paper currently the most efficient from the data compaction point of view image lossless coding method is presented. Being computationally complex the algorithm is still more time efficient than its main competitors. The method is based on weighted LS (WLS) technique idea with many improvements introduced, e.g. its main stage is followed by a two-step NLMS predictor. Prediction error is coded by a completely new highly efficient binary context arithmetic coder. Its performance is compared with that of other coders for a set of widely used benchmark images.

关键词： Image coding lossless coding Arithmetical coder

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lossless Image coding Exploiting Local and Non-local Information via Probability Model Optimization 27

Lossless Image Coding Exploiting Local and Non-local Informa...

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27th European Signal Processing Conference (EUSIPCO)

作者： Unno, Kyohei Kameda, Yusuke Matsuda, Ichiro Itoh, Susumu Naito, Sei KDDI Res Inc 2-1-15 Ohara Fujimino Saitama 3568502 Japan Tokyo Univ Sci Fac Sci & Technol 2641 Yamazaki Noda Chiba 2788510 Japan

ISBN: (纸本)9789082797039

We previously proposed a lossless image coding method based on examples search and probability model optimization. In this paper, we improve coding efficiency of the method by introducing an adaptive prediction technique. Specifically, multiple affine predictors are trained pel-by-pel by using causal neighbor pels, and the predicted values obtained by those predictors are used for generating the probability model. Therefore, both non-local information by the examples search and local information by the adaptive prediction are used together in the probability modeling. Furthermore, an optimization method for the number of examples is also proposed in this paper. Experimental results show that the proposed method achieves better coding rates than the state-of-the-art lossless coding schemes.

关键词： lossless coding Example search Affine prediction Probability modeling Quasi-Newton method

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Two-Layer lossless HDR coding Using Histogram Packing Technique with Backward Compatibility to JPEG

Two-Layer Lossless HDR Coding Using Histogram Packing Techni...

引用

11th International Workshop on Smart Info-Media Systems in Asia (SISA)

作者： Watanabe, Osamu Kobayashi, Hiroyuki Kiya, Hitoshi Takushoku Univ Dept Elect & Comp Syst Hachioji Tokyo 1930985 Japan Tokyo Metropolitan Coll Ind Technol Elect & Elect Engn Course Tokyo 1400011 Japan Tokyo Metropolitan Univ Fac Info & Commun Syst Hino Tokyo 1910065 Japan

An efficient two-layer coding method using the histogram packing technique with the backward compatibility to the legacy JPEG is proposed in this paper. The JPEG XT, which is the international standard to compress HDR images, adopts two-layer coding scheme for backward compatibility to the legacy JPEG. However, this two-layer coding structure does not give better lossless performance than the other existing methods for HDR image compression with single-layer structure. Moreover, the lossless compression of the JPEG XT has a problem on determination of the coding parameters;The lossless performance is affected by the input images and/or the parameter values. That is, finding appropriate combination of the values is necessary to achieve good lossless performance. It is firstly pointed out that the histogram packing technique considering the histogram sparseness of HDR images is able to improve the performance of lossless compression. Then, a novel two-layer coding with the histogram packing technique and an additional lossless encoder is proposed. The experimental results demonstrate that not only the proposed method has a better lossless compression performance than that of the JPEG XT, but also there is no need to determine image-dependent parameter values for good compression performance without losing the backward compatibility to the well known legacy JPEG standard.

关键词： JPEG XT HDR lossless coding backward compatibility to JPEG

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lossless INTRA coding IN HEVC WITH INTEGER-TO-INTEGER DST 24

LOSSLESS INTRA CODING IN HEVC WITH INTEGER-TO-INTEGER DST

引用

24th European Signal Processing Conference (EUSIPCO)

作者： Kamisli, Fatih Middle East Tech Univ Ankara Turkey

ISBN: (纸本)9780992862657

It is desirable to support efficient lossless coding within video coding standards, which are primarily designed for lossy coding, with as little modification as possible. A simple approach is to skip transform and quantization, and directly entropy code the prediction residual, but this is inefficient for compression. A more efficient and popular approach is to process the residual block with DPCM prior to entropy coding. This paper explores an alternative approach based on processing the residual block with integer-to-integer ( i2i) transforms. I2i transforms map integers to integers, however, unlike the integer transforms used in HEVC for lossy coding, they do not increase the dynamic range at the output and can be used in lossless coding. We focus on lossless intra coding and use both an i2i DCT from the literature and a novel i2i approximation of the odd type-3 DST. Experiments with the HEVC reference software show improved results.

关键词： Image coding Video coding Discrete cosine transforms lossless coding HEVC

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Pathological microscopic image compression using lossless and progressive coding schemes

Pathological microscopic image compression using lossless an...

引用

Medical Imaging 2001 Conference

作者： Nakachi, T Fujii, T Fujii, T NTT Network Innovat Labs Yokosuka Kanagawa 2390847 Japan

ISBN: (纸本)0819440094

This paper proposes pathological microscopic image compression schemes that suit lossless and progressive transmission. Because pathological microscopic images require very high resolution, they create heavy storage requirements and long transmission times. Image compression is desired to reduce these problems. First, we propose a lossless Karhunen-Loeve Transform (KLT) based on ladder networks. The proposed lossless KLT reduces inter-color redundancies which increases coding performance. Next we propose a progressive transmission algorithm by combining the lossless KLT and set partitioning in hierarchical trees (SPIHT) with the S+P transform. SPIHT is adopted to encode individual color-transformed components. By considering coding efficiency, the transmission bit rates of each encoded component are determined. The resulting algorithm gives high coding performance and has progressive transmission capability. When all transmitted data are decoded, decoding yields the original image. We demonstrate the performance of the proposed algorithm when applied to super high definition pathological microscopic images. All the images used in our tests have 2048 x 2048 pixels and 24 bits per pixel. It is shown that the coding performance of the proposed algorithm is superior to that of DCT-based JPEG with the RGB/YUV transform.

关键词： pathological microscopic images lossless coding progressive transmission super high definition images Karhunen-Loeve Transform SPIHT S plus P transform

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Three-stage OLS method for improved lossless image coding 25

Three-stage OLS method for improved lossless image coding

引用

25th International Conference on Systems, Signals and Image Processing (IWSSIP)

作者： Ulacha, Grzegorz Stasinski, Ryszard West Pomeranian Univ Technol Szczecin Fac Comp Sci & Informat Technol Szczecin Poland Poznan Univ Tech Dept Elect & Telecommun Poznan Poland

ISBN: (纸本)9781538669792

In the paper a new efficient while moderately complex lossless image coding technique is presented, 3ST-OLS. The main idea consists in cascading predictors: OLS and two-stage NLMS ones. Then cumulated prediction error is corrected by an advanced method based on four classes of contexts and three algorithms. A new improved version of CoBALP algorithm is analyzed, in which OLS stage is replaced by CoBALP predictor. It is shown that the 3ST-OLS technique has almost the same data compaction properties as much more computationally complex state-of-art methods, while the new CoBALP(ultra2) is somewhat inferior, but less complex computationally.

关键词： lossless coding Image coding OLS COBALP NLMS Cumulated predictor error

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