Bit-Depth Scalable Video Coding

Winken, Martin; Marpe, Detlev; Schwarz, Heiko; Wiegand, Thomas

doi:10.1109/icip.2007.4378877

Cited by 34 publications

(35 citation statements)

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“…where γ ∈[0, 1) is determined according to the mantissa ∈ 0, 2 10 . Substituting Equation 60 into Equation 59, we have the difference as…”

Section: Bit Depth Of the Enhancement Layermentioning

confidence: 99%

“…The original HDR color image is decoded by multiplying the luminance ratio in the enhancement layer and the LDR color image in the base layer. This method has been extended to video signals and has attracted attention as a bit-depth scalable video coding method in international standardization activities [9][10][11]16]. For still images, Khan introduced a piecewise linear model of a tone mapping [12].…”

Section: Introductionmentioning

confidence: 99%

“…This scalable coding system has the advantage that it can directly accommodate both HDR and LDR users. Therefore, the system has attracted many researchers, and a number of variations have been reported [8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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Bit-depth scalable lossless coding for high dynamic range images

Iwahashi

Yoshida

Mokhtar

et al. 2015

EURASIP J. Adv. Signal Process.

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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.

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“…where γ ∈[0, 1) is determined according to the mantissa ∈ 0, 2 10 . Substituting Equation 60 into Equation 59, we have the difference as…”

Section: Bit Depth Of the Enhancement Layermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bit-depth scalable lossless coding for high dynamic range images

Iwahashi

Yoshida

Mokhtar

et al. 2015

EURASIP J. Adv. Signal Process.

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“…In order to expedite the process, we explore a fast search scenario. Instead of sequentially scanning all the scaling factor candidates, the search starts from the start SF , as defined in (6 (6) ), ( ) (…”

Section: Estimation Of Model Parametersmentioning

confidence: 99%

“…The straightforward approach is to search for the optimal scaling factor in a range, which yields the minimum R-D cost. We adopted the calculation of R-D cost and the scaling factor search range suggested in the common software used by [5][6][7][8][9][10][11]. This approach guarantees to find the optimal scaling factor in a given range, e.g.…”

Section: Estimation Of Model Parametersmentioning

confidence: 99%

Bit-depth scalable coding for high dynamic range video

2008

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This paper presents a technique for coding high dynamic range videos. The proposed coding scheme is scalable, such that both standard dynamic range and high dynamic range representations of a video can be extracted from one bit stream. A localized inverse tone mapping method is proposed for efficient inter-layer prediction, which applies a scaling factor and an offset to each macroblock, per color channel. The scaling factors and offsets are predicted from neighboring macroblocks, and then the differences are entropy coded. The proposed inter-layer prediction technique is independent of the forward tone mapping method and is able to cover a wide range of bit-depths and various color spaces. Simulations are performed based on H.264/AVC SVC common software and core experiment conditions. Results show the effectiveness of the proposed method. SPIE Conference on Visual Communications and Image Processing, January 2008This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. ABSTRACTThis paper presents a technique for coding high dynamic range videos. The proposed coding scheme is scalable, such that both standard dynamic range and high dynamic range representations of a video can be extracted from one bit stream. A localized inverse tone mapping method is proposed for efficient inter-layer prediction, which applies a scaling factor and an offset to each macroblock, per color channel. The scaling factors and offsets are predicted from neighboring macroblocks, and then the differences are entropy coded. The proposed inter-layer prediction technique is independent of the forward tone mapping method and is able to cover a wide range of bit-depths and various color spaces. Simulations are performed based on H.264/AVC SVC common software and core experiment conditions. Results show the effectiveness of the proposed method.

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Perception-Inspired High Dynamic Range Video Coding and Compression

Mantiuk

2015

The Frontiers Collection

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Bit-Depth Scalable Video Coding

Cited by 34 publications

References 1 publication

Bit-depth scalable lossless coding for high dynamic range images

Bit-depth scalable lossless coding for high dynamic range images

Bit-depth scalable coding for high dynamic range video

Perception-Inspired High Dynamic Range Video Coding and Compression

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