Luby transform code (LT code) has been a popular and practical technique in the field of channel coding since its proposal. One of the key components of LT code is a degree distribution which is used to determine the ...
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ISBN:
(纸本)9781424481262
Luby transform code (LT code) has been a popular and practical technique in the field of channel coding since its proposal. One of the key components of LT code is a degree distribution which is used to determine the relationship between source data and codewords. Luby in his proposal suggested two general methods to construct feasible degree distributions. Such general designs work appropriately in typical situations but not optimally in most cases. To explore the full potential of LT code, in this work, we make the first attempt to introduce evolutionary algorithms to optimize the degree distribution in LT code. Degree distributions are encoded as real-valued vectors and evaluated by numerical simulation of LT code. For applications of different natures, two objectives are implemented to search good degree distributions with different decoding behavior. Compared with the original design, the experimental results are quite promising and demonstrate that the degree distribution can be customized for different purposes. In addition to manually adjusting the degree distribution as the common practice, the work presented in this paper provides an efficient alternative approach to use and adapt LT code for both practitioners and researchers.
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.
In this paper we propose a new convex optimization framework for precise spatial noise shaping. The effectiveness of this new technique is demonstrated in the application of perceptual coding of images. A modified JPE...
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In this paper we propose a new convex optimization framework for precise spatial noise shaping. The effectiveness of this new technique is demonstrated in the application of perceptual coding of images. A modified JPEG 2000 codec is implemented using the proposed new framework and compared with existing perceptual coding algorithms. Results of subjective tests show that the new framework can provide a significant improvement in bitrate savings compared to the best performing wavelet domain technique. The algorithm allows much more precise control of distortion than existing spatial domain techniques and is fully compliant with part 1 of the JPEG 2000 standard.
This paper proposes a joint JPEG-block coding system (JJBC) based on BCJR decoding with expurgating trellis that maintains an acceptable image quality over AWGN and wireless channels. The joint design of JPEG compress...
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This paper proposes a joint JPEG-block coding system (JJBC) based on BCJR decoding with expurgating trellis that maintains an acceptable image quality over AWGN and wireless channels. The joint design of JPEG compression and block codes in the transmitter has the advantage of avoiding error propagation and of low decoding complexity over the conventional tandem system with separate optimization of source coding and channel coding. The PSNR performance of the JJBC system is much better than that of the tandem system when the signal to noise ratio is low. Experimental results show that the proposed JJBC system achieves 6 dB (3 dB) reduction at PSNR=20dB, compared to the conventional tandem system, over wireless IEEE 802.11b (AWGN) channels.
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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