Luby transform code (LT code) is the first practical digital fountain code and has been widely used as basic components in many communication applications. The coding behavior of LT code is mainly decided by a probabi...
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ISBN:
(纸本)9781424481262
Luby transform code (LT code) is the first practical digital fountain code and has been widely used as basic components in many communication applications. The coding behavior of LT code is mainly decided by a probability distribution of codeword degrees. In order to customize a degree distribution for different purposes, multi-objective evolutionary algorithm is introduced to optimize degree distributions in this paper. Two critical performance indicators of LT code are considered in our experiments. Some applications hope to minimize the overhead of extra packets and some require to limit the computational cost of the coding system. To handle this problem, MOEA/D is applied to optimize two objectives simultaneously. We expect to obtain the Pareto front (PF) formed by partial optimal solutions and provide those available degree distributions to different LT code applications. Not only promising results are represented in this paper but also the behavior of LT code is thoroughly explored by optimizing the degree distribution according to multi-objectives.
This paper presents an algorithm based on a two-layer coding scheme, where the original information is represented by means of a Low Dynamic Range (LDR) image, obtained by applying a tone mapping operator to the origi...
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This paper presents an algorithm based on a two-layer coding scheme, where the original information is represented by means of a Low Dynamic Range (LDR) image, obtained by applying a tone mapping operator to the original HDR (High Dynamic Range), plus an enhancement layer, which allows to recover the full dynamic range. More specifically, the original HDR is represented with a format similar to the well known RGBE, which uses a shared exponent to compactly represent floating point numbers. With respect to the original RGBE, here the mantissa is composed by an approximation of the LDR image while the shared exponent represents the enhancement layer. This particular choice allows to split the original HDR into a color image, the mantissa, and a grayscale image, the exponent, which are very smooth signals that can be efficiently compressed by conventional image coding methods. With respect to already proposed similar schemas, two desirable features are then provided: a high coding efficiency, combined with the possibility to retrieve a displayable version of the original content.
Recently, a novel approach to color image compression based on colorization has been presented. Although the conventional method of colorization-based coding outperforms JPEG in terms of subjective quality, the decode...
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Recently, a novel approach to color image compression based on colorization has been presented. Although the conventional method of colorization-based coding outperforms JPEG in terms of subjective quality, the decoded chrominance components lose the local oscillation that the original images had. A large number of color assignations is required to restore these oscillations. We focus on the local correlation that exists between luminance and chrominance in separated texture components, and we present a new colorization-based coding method. Experimental results showed that our coding method can restore the oscillation and improve the coding efficiency compared with the conventional method.
In this paper, we propose an intra-prediction system that is both parallel friendly and with high coding efficiency. This is achieved by combining a novel prediction strategy that reduces serial dependencies and a nov...
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In this paper, we propose an intra-prediction system that is both parallel friendly and with high coding efficiency. This is achieved by combining a novel prediction strategy that reduces serial dependencies and a novel, multi-directional and adaptive prediction system. The resulting technique is compared with state-of-the-art ITU-T H.264/MPEG-4 AVC. We observe a 2× and 8× increase in parallelism for 8×8 and 4×4 partitions, respectively, and an average rate increase of less than 0.08% for predictive coding scenarios.
Since the finalization of the H.264/AVC standard and in order to meet the target set by both ITU-T and MPEG to define a new standard that reaches 50% bit rate reduction compared to H.264/AVC, many tools have efficient...
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Since the finalization of the H.264/AVC standard and in order to meet the target set by both ITU-T and MPEG to define a new standard that reaches 50% bit rate reduction compared to H.264/AVC, many tools have efficiently improved the texture coding and the motion compensation accuracy. These improvements have resulted in increasing the proportion of bit rate allocated to motion information. Thus, the bit rate reduction of this information becomes a key subject of research. This paper proposes a method for motion vector coding based on an adaptive redistribution of motion vector residuals before entropy coding. Motion information is gathered to forecast a list of motion vector residuals which are redistributed to unexpected residuals of lower coding cost. Compared to H.264/AVC, this scheme provides systematic gain on tested sequences, and 2.3% in average, reaching up to 4.9% for a given sequence.
Video coding standards are rapidly evolving with the advance of the video compression techniques. As the state of the art video coding standard, H.264/AVC exhibits superior coding performance improvement over its pred...
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ISBN:
(纸本)9781424444618
Video coding standards are rapidly evolving with the advance of the video compression techniques. As the state of the art video coding standard, H.264/AVC exhibits superior coding performance improvement over its predecessors. Currently, both VCEG and MPEG are launching their next-generation video coding project, which aims to meet the new requirements future applications may impose on the video coding standard. In this paper, we summarize the progress of those next generation video coding standard projects and existing new video coding techniques. Moreover, we also present details on our implementation of second-order prediction and reduced resolution update, followed by some experimental results.
The scalable video coding (SVC) extension of the H.264/MPEG-4 AVC standard provides a feature-rich partition of the video that is amenable to multiple description coding (MDC) for transmission over multiple unreliable...
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The scalable video coding (SVC) extension of the H.264/MPEG-4 AVC standard provides a feature-rich partition of the video that is amenable to multiple description coding (MDC) for transmission over multiple unreliable channels. In this paper we propose a novel low-complexity MDC scheme where we enforce compliance with H.264/MPEG-4 SVC and restrict our processing to the network adaptation layer (NAL) level. In our scheme video is encoded with two spatial and multiple temporal layers. The lower resolution spatial layer is coarsely encoded using a high quantization parameter (QP) value, while the higher resolution spatial layer is encoded with finer QP. The MDC is performed on an already encoded video stream by partitioning the NAL units from the encoded video stream into the two descriptions, where the coarse lower spatial resolution is duplicated in the two descriptions while finely encoded enhancement layer information is symmetrically distributed between the two descriptions. Experimental results show that compared with single description coding (SDC) the performance of proposed scheme results in gains of up to 3 dB.
In this paper, we propose a visual lossless compression scheme of mosaic image based on wavelet sub-band substitute. The proposed compression scheme consists of three coding pipelines: green component lossless coder, ...
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In this paper, we propose a visual lossless compression scheme of mosaic image based on wavelet sub-band substitute. The proposed compression scheme consists of three coding pipelines: green component lossless coder, red component near-lossless coder and blue component near-lossless coder. Firstly, full resolution green image which is demosaiced from raw mosaic image is produced and green mosaic image is losslessly coded by LOCO-I scheme designed by Weinberger. Then low frequency sub-bands of red and blue mosaic component are also coded by LOCO-I while their high frequency sub-bands are ignored. In the decoder, the high frequency sub-bands of red and blue mosaic component are taken from the high frequency sub-bands of full resolution green image which locate at the same position as raw red or blue mosaic image, so we can reconstruct raw red or blue mosaic image based on decoded low frequency sub-bands of red and blue mosaic component. Consequently, we can encode mosaic images at low complexity level at higher compression ratio. Compared with JPEG2000, the performance of proposed method is apparently better.
A fast intra/inter coding mode selection algorithm for the H.264 video coding standard is proposed in this paper. According to the observation of intra/inter prediction mode of any MB and those of its four neighboring...
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ISBN:
(纸本)9781424471652
A fast intra/inter coding mode selection algorithm for the H.264 video coding standard is proposed in this paper. According to the observation of intra/inter prediction mode of any MB and those of its four neighboring blocks from different real video sequences, we find that there are a high mode correlation exists in intra/inter mode map of H.264. We exploit the interblock correlation in the intra/inter-mode domain to early terminate the rate-distortion optimization (RDO) calculations. Experimental results show that the proposed fast mode selection algorithm can yield more encoding-time saving effects with similar image quality, as compared with existing fast methods.
Block Truncation coding (BTC) has been considered as a highly efficient compression technique for decades. However, the annoying blocking effect and false contour under low bit rate configuration are its key problems....
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Block Truncation coding (BTC) has been considered as a highly efficient compression technique for decades. However, the annoying blocking effect and false contour under low bit rate configuration are its key problems. In this work, an improved BTC, namely Dot-Diffused BTC (DDBTC), is proposed to solve these problems. On one hand, the DDBTC can provide excellent processing efficiency by exploiting the innate parallelism advantage of dot diffusion. On the other hand, the DDBTC can provide excellent image quality by co-optimizing the class matrix and diffused matrix of the dot diffusion. The experimental results demonstrate that the proposed DDBTC is fully superior to the pervious Error-Diffused BTC (EDBTC) in terms of image quality and processing efficiency, and has much better image quality than that of the Ordered-Dither BTC (ODBTC).
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