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Bit-depth scalable lossless coding for high dynamic range images

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2015年第1期2015卷 1-15页

作者： Iwahashi, Masahiro Yoshida, Taichi Mokhtar, Norrima Binti Kiya, Hitoshi Nagaoka Univ Technol Dept Elect Elect & Informat Engn Nagaoka Niigata 94021 Japan Univ Malaya Dept Elect Engn Kuala Lumpur 50603 Malaysia Tokyo Metropolitan Univ Fac Syst Design Dept Informat & Commun Syst Hino Tokyo Japan

In this paper, we propose a bit-depth scalable lossless coding method for high dynamic range (HDR) images based on a reversible logarithmic mapping. HDR images are generally expressed as floating-point data, such as in the OpenEXR or RGBE formats. Our bit-depth scalable coding approach outputs base layer data and enhancement layer data. It can reconstruct the low dynamic range (LDR) image from the base layer data and reconstructs the HDR image by adding the enhancement layer data. Most previous two-layer methods have focused on the lossy coding of HDR images. Unfortunately, the extension of previous lossy methods to lossless coding does not significantly compress the enhancement layer data. This is because the bit depth becomes very large, especially for HDR images in floating-point data format. To tackle this problem, we apply a reversible logarithmic mapping to the input HDR data. Moreover, we introduce a format conversion to avoid any degradation in the quality of the reconstructed LDR image. The proposed method is effective for both OpenEXR and RGBE formats. Through a series of experiments, we confirm that the proposed method decreases the volume of compressed data while maintaining the visual quality of the reconstructed LDR images.

关键词： High dynamic range imaging lossless coding Bit-depth scalable coding

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Mode-Dependent Templates and Scan Order for H.264/AVC-Based Intra lossless coding

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IEEE TRANSACTIONS ON IMAGE PROCESSING 2012年第9期21卷 4106-4116页

作者： Gu, Zhouye Lin, Weisi Lee, Bu-Sung Lau, Chiew Tong Sun, Ming-Ting Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore Univ Washington Dept Elect Engn Seattle WA 98195 USA

In H.264/advanced video coding (AVC), lossless coding and lossy coding share the same entropy coding module. However, the entropy coders in the H.264/AVC standard were original designed for lossy video coding and do not yield adequate performance for lossless video coding. In this paper, we analyze the problem with the current lossless coding scheme and propose a mode-dependent template (MD-template) based method for intra lossless coding. By exploring the statistical redundancy of the prediction residual in the H.264/AVC intra prediction modes, more zero coefficients are generated. By designing a new scan order for each MD-template, the scanned coefficients sequence fits the H.264/AVC entropy coders better. A fast implementation algorithm is also designed. With little computation increase, experimental results confirm that the proposed fast algorithm achieves about 7.2% bit saving compared with the current H.264/AVC fidelity range extensions high profile.

关键词： Adaptive scanning intra video coding lossless coding mode-dependent templates

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Vector-lifting schemes for lossless coding and progressive archival of multispectral images

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2002年第9期40卷 2011-2024页

作者： Benazza-Benyahia, A Pesquet, JC Hamdi, M Ecole Super Commun Tunis Dept Math Appl Signal & Commun Ariana 2083 Tunisia Univ Marne La Vallee CNRS URA 820 F-77454 Marne La Vallee 2 France Univ Marne La Vallee Inst Gaspard Monge F-77454 Marne La Vallee 2 France

In this paper, a nonlinear subband decomposition scheme with perfect reconstruction is proposed for lossless and progressive coding of multispectral images. The merit of this new scheme is to exploit efficiently the spatial and the spectral redundancies contained in the multispectral images related to a scene of interest. Besides, the proposed method is suitable for telebrowsing applications. Experiments carried out-on real scenes allow to assess its performances.' The simulation results demonstrate that our approach leads to improved compression performances compared with currently used lossless coders.

关键词： filter banks lifting schemes lossless coding multispectral images progressive coding satellite imaging

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lossless coding of RGB 4:4:4 Color Video Using Linear Predictors Designed for Each Spatiotemporal Volume

Lossless Coding of RGB 4:4:4 Color Video Using Linear Predic...

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

作者： Tajima, Shu Kameda, Yusuke Matsuda, Ichiro Itoh, Susumu Tokyo Univ Sci Noda Chiba 2788510 Japan

This paper proposes an efficient lossless coding scheme for color video in RGB 4:4:4 format. For the R signal that is encoded before the other signals at each frame, we employ a block -adaptive prediction technique originally developed for monochrome video. The prediction technique used for the remaining G and B signals is extended to exploit inter -color correlations as well as inter- and intra-frame ones. In both cases, multiple predictors are adaptively selected on a block-by-block basis. For the purpose of designing a set of predictors well suited to the local properties of video signals, we also explore an appropriate setting for the spatiotemporal partitioning of a video volume.

关键词： lossless coding color video coding spatiotemporal partitioning

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HEVC lossless coding and Improvements

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2012年第12期22卷 1839-1843页

作者： Zhou, Minhua Gao, Wen Jiang, Minqiang Yu, Haoping Texas Instruments Inc Dallas TX 75093 USA Huawei Technol Santa Clara CA 95050 USA

The lossless coding mode of the High Efficiency Video coding (HEVC) main profile that bypasses transform, quantization, and in-loop filters is described. Compared to the HEVC nonlossless coding mode with the smallest quantization parameter value (i.e., 0 for 8-b video and -12 for 10-b video), the HEVC lossless coding mode provides perfect fidelity and an average bit-rate reduction of 3.2%-13.2%. It also significantly outperforms the existing lossless compression solutions, such as JPEG2000 and JPEG-LS for images as well as 7-Zip and WinRAR for data archiving. To further improve the coding efficiency of the HEVC lossless mode, a sample-based angular intra prediction (SAP) method is presented. The SAP employs the same prediction mode signaling method and the sample interpolation method as the HEVC block-based angular prediction, but uses adjacent neighbors for better intra prediction accuracy and performs prediction sample by sample. The experimental results reveal that the SAP provides an additional bit-rate reduction of 1.8%-11.8% on top of the HEVC lossless coding mode.

关键词： Block-based angular intra prediction High Efficiency Video coding (HEVC) lossless coding sample-based angular intra prediction (SAP)

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lossless coding method for black-ink signals of high-quality printing images

Lossless coding method for black-ink signals of high-quality...

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Meeting on Visual Communications and Image Processing

作者： Kato, S Guo, ML Hasegawa, M Utsunomiya Univ Fac Engn Utsunomiya Tochigi 3218585 Japan

ISBN: (纸本)0819431249

Digital color images in the printing fields are usually extra high quality images, which have many I:ray levels and high resolution. In order to transmit and store such images efficiently, it is needed to introduce the compression techniques. Printing color images are usually represented by 4-primary colors, such as the Cyan, the Magenta, the Yellow and the Black (Black-Ink) signals. The black signal is, however, quite different from the other three primary color signals in statistical characteristics. Such specific characteristics should be used to compress the black signals of the printing color images. In this paper, we propose a new coding scheme for the black signals of printing color images. In the proposed scheme, first, eight prediction functions including those used in JPEG spatial mode are applied for three primary color signals except the Black one. Secondly, a suitable prediction function is selected from the eight prediction functions;by calculating the summation of absolute prediction errors of three primary color signals, and searching the minimum summation among the eight prediction functions. Finally, prediction errors are separately encoded by contexts of reference: pixels. Simulation results show that the proposed scheme has high compression ratio for the black-ink signals.

关键词： image compression lossless coding printing image high quality image black-ink signal

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Progressive lossless coding of medical images

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 1998年第1-2期14卷 23-32页

作者： Cristea, P Cornelis, J Munteanu, A Politehn Univ Bucharest Digital Signal Proc Lab Bucharest 77206 Romania Free Univ Brussels IRIS Res Grp ETRO Dept B-1050 Brussels Belgium

The paper describes a procedure for lossless coding of medical images that uses a non-linear integer-to-integer wavelet transform generated by a lifting scheme and featuring progressive transmission capability. The quantization module implements a new modality for the coding of the wavelet coefficients that is more effective than the classical zerotree coding. lossless image compression with progressive transmission capabilities plays a key role in medical image acquisition and handling. The contradictory requirements of exact data reconstruction possibility and of efficient and economic handling and transmission of large sets of images over large distances have to be met simultaneously. The experimental results, obtained on a set of 20 multimodal medical images, show that the algorithm outperforms other existing image lossless coding algorithms. Therefore it is a good candidate for telematics applications like teleradiology and PACS. (C) 1998 Elsevier Science B.V.

关键词： lossless coding integer wavelet transform progressive transmission

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Rate-distortion performance of resolution-constrained quantization combined with lossless coding

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IEICE ELECTRONICS EXPRESS 2009年第22期6卷 1542-1547页

作者： Lim, Jongwook Lee, Yoon Joo Kima, Moo Young Sejong Univ Dept Informat Commun Eng Human Comp Interact Lab Seoul 143747 South Korea

We investigate the theoretical and practical rate-distortion (R-D) performance of resolution-constrained quantization (RCQ) combined with lossless coding (RCQ+). Based on the high-rate theory, the required rate difference between RCQ and RCQ+, at a given mean distortion, is found to be the Kullback-Leibler distance (KLD) between the source probability density function (PDF) and its rateless centroid density function. Thus, the rate reduction in RCQ+ is diminished as vector dimensionality increases or as the source PDF approaches uniform density. In the experiments with Gaussian data, the R-D performance of high-rate derivation is verified. Huffman coding is implemented on top of the conventional RCQ methods such as ITU-T G. 711 and G.722.2 speech coders, and the rate reduction with RCQ+ is found to be decreased for lower values of the KLD.

关键词： source coding resolution-constrained quantization entropy-constrained quantization lossless coding high-rate theory

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Residual DPCM about Motion Compensated Residual Signal for H.264 lossless coding

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2009年第5期E92A卷 1386-1389页

作者： Han, Ki-Hun Rao, Kamisetty R. Lee, Yung-Lyul Sejong Univ Dept Comp Engn DMS Lab Seoul South Korea Univ Texas Arlington Dept Elect Engn DIP Lab Arlington TX USA

In this letter, a new Inter lossless coding method based on a residual DPCM (Differential Pulse Code Modulation) is proposed to improve compression ratio in the H.264 standard. Since the spatial correlation in a residual block can be further exploited among the residual signals after motion estimation/compensation, horizontal or vertical DPCM in the residual signals can be applied to further reduce the magnitudes of the residual signals. The proposed method reduces the average bitrates of 3.5% compared with the Inter lossless coding of the H.264 standard.

关键词： lossless coding DPCM Inter prediction H.264

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On lossless coding for HEVC

On Lossless Coding for HEVC

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Conference on Visual Information Processing and Communication IV

作者： Gao, Wen Jiang, Minqiang Yu, Haoping Huawei Media Lab 2330 Centra Expressway Santa Clara CA 95050 USA Real Commun Inc San Jose CA 95134 USA

ISBN: (纸本)9780819494399

In this paper, we first review the lossless coding mode in the version 1 of the HEVC standard that has recently finalized. We then provide a performance comparison between the lossless coding mode in the HEVC and MPEG-AVC/H.264 standards and show that the HEVC lossless coding has limited coding efficiency. To improve the performance of the lossless coding mode, several new coding tools that were contributed to JCT-VC but not adopted in version 1 of HEVC standard are introduced. In particular, we discuss sample based intra prediction and coding of residual coefficients in more detail. At the end, we briefly address a new class of coding tools, i.e., a dictionary-based coder, that is efficient in encoding screen content including graphics and text.

关键词： lossless coding intra prediction coefficient scanning dictionary coder

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