This paper focuses on improvement of compression of XML documents based on clustering and rearranging of XML elements within XML documents. Such transformed XML documents can be efficiently compressed.
This paper focuses on improvement of compression of XML documents based on clustering and rearranging of XML elements within XML documents. Such transformed XML documents can be efficiently compressed.
The large amount of image data from the captured 3D integral image requires to be presented with adequate resolution. It is therefore necessary to develop compression algorithms that take advantage of the characterist...
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ISBN:
(纸本)9781424458653
The large amount of image data from the captured 3D integral image requires to be presented with adequate resolution. It is therefore necessary to develop compression algorithms that take advantage of the characteristics of the recorded integral image. In this paper we propose a new compression method that is adapted to integral imaging. According to the optical characteristics of integral imaging, most of the information of each elemental image is overlapped with that of its adjacent elemental images. Thus, the method is to achieve image compression by taking a sample from the elemental image sequence for every m elemental images to get image compression. Experimental results that are presented to illustrate the proposed compression technique prove that the proposed technique can improve the compression ratio of integral imaging.
The purpose of this paper is to analyze and further optimize the JPEG image compression algorithm. First we analysis of JPEG image compression algorithm to achieve the specific methods with the advantages and disadvan...
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The purpose of this paper is to analyze and further optimize the JPEG image compression algorithm. First we analysis of JPEG image compression algorithm to achieve the specific methods with the advantages and disadvantages, at the same time, in the algorithm module in the sending, the output of a new data transfer mode was developed to reduce the error rate and enhance perform well in the data transfer rate based on the algorithm local optimization. In the end, we proved that the new data transfer mode can efficiently improve the data transfer rate and reduce the error rate through an experiment.
Lidar raw echo data has characteristics such as huge data quantity, strong discreteness and unpredictability. According to the construction of Lidar monitoring network of atmospheric environment, the existing network ...
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Lidar raw echo data has characteristics such as huge data quantity, strong discreteness and unpredictability. According to the construction of Lidar monitoring network of atmospheric environment, the existing network can not provide enough bandwidth to transmit Lidar data in real time. In this paper, we propose a novel hybrid lossless compression algorithm to reduce the transmission amount, namely the probability statistics lossless compression algorithm base on the improved LZW(Lempel-Ziv-Welch), which combines Huffman coding. With experiment on the raw two-value atmospheric data, we verify the effectiveness of our approach that the compression ratio is close to 9.5:1 and the coding efficiency is up to 98%.
In this paper, a new variable block-size image compression scheme is presented. A quadtree segmentation is employed to generate blocks of variable size according to their visual activity. Inactive blocks are coded by ...
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ISBN:
(纸本)9781424455690
In this paper, a new variable block-size image compression scheme is presented. A quadtree segmentation is employed to generate blocks of variable size according to their visual activity. Inactive blocks are coded by the block mean, while active blocks are coded by the proposed matching algorithm using a set of parameters associated with the pattern appearing inside the block. Both the segmentation and the pattern matching are carried out through histogram analysis of block residuals. The use of pattern parameters at the receiver together with the quadtree code reduces the cost of reconstruction significantly and exploits the efficiency of the proposed technique.
This paper presents the power-performance trade off of three different cache compression algorithms. Cache compression improves performance, since the compressed data increases the effective cache capacity by reducing...
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This paper presents the power-performance trade off of three different cache compression algorithms. Cache compression improves performance, since the compressed data increases the effective cache capacity by reducing the cache misses. The unused memory cells can be put into sleep mode to save static power. The increased performance and saved power due to cache compression must be more than the delay and power consumption added due to CODEC(COmpressor and DECompressor) block respectively. Among the studied algorithms, power-delay characteristic of Frequent Pattern compression(FPC) is found to be the most suitable for cache compression.
We present a rasterizer, based on time-dependent edge equations, that computes analytical visibility in order to render accurate motion blur. The theory for doing the computations in a rasterization framework is deriv...
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ISBN:
(纸本)9781617827242
We present a rasterizer, based on time-dependent edge equations, that computes analytical visibility in order to render accurate motion blur. The theory for doing the computations in a rasterization framework is derived in detail, and then implemented. To keep the frame buffer requirements low, we also present a new oracle-based compression algorithm for the time intervals. Our results are promising in that high quality motion blurred scenes can be rendered using a rasterizer with rather low memory requirements. Our resulting images contain motion blur for both opaque and transparent objects.
In modern video coding system, the memory bandwidth of external memory becomes more and more important and almost dominates the system performance. To save the memory bandwidth, the embedded compression (EC) technique...
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In modern video coding system, the memory bandwidth of external memory becomes more and more important and almost dominates the system performance. To save the memory bandwidth, the embedded compression (EC) technique is integrated into video coding system. In this paper, the bandwidth-efficient EC algorithm is proposed. It comprises three core techniques: side-oriented prediction, adjusted binary code (ABC) entropy coding, and two-level rate control scheme. The side-oriented prediction can save the extra bits for the representation of prediction residual. The prediction residual is allocated to an efficient codeword by ABC entropy coding. With two-level rate control scheme, not only the compression ratio (CR) can be precisely controlled, but also the visual quality is maintained. Experiment results show this work achieves the PSNR drop of 1.33%, and the error between CR and Target CR (TCR) is as minor as 1.60%. Consequently, this work is quite suitable for saving memory bandwidth in video coding system.
Light maps have long been a popular technique for visually rich real-time rendering in games. They typically contain smooth color gradients which current low bit rate texture compression techniques, such as DXT1 and E...
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ISBN:
(纸本)9781617827242
Light maps have long been a popular technique for visually rich real-time rendering in games. They typically contain smooth color gradients which current low bit rate texture compression techniques, such as DXT1 and ETC2, do not handle well. The application writer must therefore choose between doubling the bit rate by choosing a codec such as BC7, or accept the compression artifacts, neither of which is desirable. The situation is aggravated by the recent popularity of radiosity normal maps, where three light maps plus a normal map are used for each surface. We present a new texture compression algorithm targeting smoothly varying textures, such as the light maps used in radiosity normal mapping. On high-resolution light map data from real games, the proposed method shows quality improvements of 0. 7 dB in PSNR over ETC2, and 2.8 dB over DXT], for the same bit rate. As a side effect, our codec can also compress many standard images (not light maps) with better quality than DXT1/ETC2.
This paper presents a theory of lossless digital compression. Quality of voice signal is not important for voice communication. In hearing music high quality music is always recommended. For this emphasis is given on ...
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This paper presents a theory of lossless digital compression. Quality of voice signal is not important for voice communication. In hearing music high quality music is always recommended. For this emphasis is given on the quality of speech signal. To save more music it is needed to save them consuming smaller memory space. In proposed compression 8-bit PCM/PCM speech signal is compressed. When values of samples are varying they are kept same. When they are not varying the number of samples containing same value is saved. After compression the signal is also an 8-bit PCM/PCM. MPEG-4 ALS is applied in this compressed PCM signal for better compression.
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