As a key technology for next-generation wireless networking, wireless mesh networks (WMNs) should support the quality of service (QoS) because of providing various services. In order to satisfy the delay requirements ...
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As a key technology for next-generation wireless networking, wireless mesh networks (WMNs) should support the quality of service (QoS) because of providing various services. In order to satisfy the delay requirements of services in the WMN, this paper puts forward a QoS routing protocol which fit for the WMN—QoS-AODV. Under the premise of the delay being in the range of QoS demands, it combines the features of AODV algorithm and defines the new route metric with the hop count and load rate for providing different QoS guarantees of real-time multimedia services and non-real-time text service. The analysis and the simulation result indicated that QAODV performs better than AODV and AODV-D on thee aspects of reducing the delay and enhancing the real-time performance with small increase of control overhead. So the protocol achieved the goal of enhancing QoS of wireless Mesh network.
In this paper, an adaptive color transform for image compression is introduced. In each block of the image coefficients of the color transform are determined from the previously compressed neighboring blocks using wei...
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In this paper, an adaptive color transform for image compression is introduced. In each block of the image coefficients of the color transform are determined from the previously compressed neighboring blocks using weighted sums of the RGB pixel values, making the transform block-specific. There is no need to transmit or store the transform coefficients because they are estimated from previous blocks. The compression efficiency of the transform is demonstrated using the JPEG image coding scheme. In general, the suggested transformation results in better PSNR values for a given compression level.
Comparing with traditional multiscale transform, the Curvelet transform can find optimally sparse epresentations of objects, with discontinuities along C 2 edges. Based on dividing blocks curvelet transform the paper...
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Comparing with traditional multiscale transform, the Curvelet transform can find optimally sparse epresentations of objects, with discontinuities along C 2 edges. Based on dividing blocks curvelet transform the paper present a novel steganography algorithm. Because the changes of the coefficients in detail scale layers keep energy conservation in the ridge domain, the secret message can be inserted through blocks energy quantization. The steganography algorithm is blind to extraction and robust to common attacks, especially to JPEG. The experimental results show that it can improve the secret message capacity, and suit to covert commutation against JPEG attack, which insert messages in detail and detail scale layers. It can obtain more strong robustness to semi-fragile watermarking which insert messages only in detail scale layers.
Surveillance videos are often compressed for transmission or storage. It is desirable to be able to perform automatic event detection in the compressed domain directly. In this paper, we investigate the use of motion ...
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Surveillance videos are often compressed for transmission or storage. It is desirable to be able to perform automatic event detection in the compressed domain directly. In this paper, we investigate the use of motion trajectories for video activity detection in the compressed domain. We show that it is possible to extract reliable motion trajectories directly from compressed H.264 video streams. To overcome the problems caused by unreliable motion vectors, we propose to include the information from the compressed domain prediction residuals to make the tracking more robust. We also show a real world application based on the classification of the motion trajectories to detect vacant or occupied parking spaces.
Context-adaptive binary arithmetic coding (CABAC) is a popular approach to diminish the statistical redundancy of symbols emitted by bitplane image coders. The main idea behind CABAC is to set up appropriate context m...
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Context-adaptive binary arithmetic coding (CABAC) is a popular approach to diminish the statistical redundancy of symbols emitted by bitplane image coders. The main idea behind CABAC is to set up appropriate context models for coefficients, and to adapt probability estimates for each context to the nonstationary statistical behavior of symbols as more data are coded. This works introduces a mathematical model to determine probability estimates conceived from a characterization of the signal's nature within wavelet subbands. The proposed model assumes stationary statistical behavior for emitted symbols, thus the context-adaptive process carried out by CABAC is avoided. Experimental results in the framework of JPEG2000 suggest 2% increment on coding efficiency.
Multispectral image compression which are based on the one-, two- and three-dimensional wavelet transforms has been existed in many papers. Existing image compression algorithms have proved to be very efficient in com...
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Multispectral image compression which are based on the one-, two- and three-dimensional wavelet transforms has been existed in many papers. Existing image compression algorithms have proved to be very efficient in compressing these kinds of images. We adopted the principal component analysis,clustering and spectral angle cosine to classify and compress in spectral *** this article, we present lossy compression based wavelet; the information loss is measured by Peak-Signal-to-Noise Ratio (PSNR). We introduce the spatial compression based on JPEG2000 and improved embedded zerotree (EZW) encoding. We use the different compression rate to compress image, when the compression rate is 10:1, subjective value and object value is optimal. Not only the single band, but also the composing image, the spectral curve is nearly same.
This paper presents the DCT implementation of JPEG images using discrete cosine transform (DCT). The proposed method aims at reducing the power consumption which by application of vector scaling on DCT. This will be v...
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This paper presents the DCT implementation of JPEG images using discrete cosine transform (DCT). The proposed method aims at reducing the power consumption which by application of vector scaling on DCT. This will be very useful for image compression and transmission applications. Using the character of energy distribution of DCT matrix after 2D-DCT operation, the best DCT basis functions are selected which is capable of achieving considerable power reduction with minimum image quality degradation. The proposed method can efficiently trade-off image quality and power consumption. An algorithm with vector scaled values for DCT coefficients, is also proposed which reduces the computational energy based on the sensitivity differences of 64 DCT coefficients.
The discrete wavelet transform (DWT) is a powerful signal processing technique used in the JPEG 2000 image compression standard. The multi-resolution sub-band encoding provided by DWT allows for higher compression rat...
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ISBN:
(纸本)9781424465330
The discrete wavelet transform (DWT) is a powerful signal processing technique used in the JPEG 2000 image compression standard. The multi-resolution sub-band encoding provided by DWT allows for higher compression ratios, avoids blocking artifacts and enables progressive transmission of images. However, these advantages come at the expense of additional computational complexity. Achieving real-time or interactive compression/de-compression speeds, therefore, requires a fast implementation of DWT that leverages emerging parallel hardware systems. In this paper, we develop an optimized parallel implementation of the lifting-based DWT algorithm using the recently proposed Open Computing Language (OpenCL). OpenCL is a standard for cross-platform parallel programming of heterogeneous systems comprising of multi-core CPUs, GPUs and other accelerators. We explore the potential of OpenCL in accelerating the DWT computation and analyze the programmability, portability and performance aspects of this language. Our experimental analysis is done using NVIDIA's and AMD's drivers that support OpenCL.
In this paper, we report a fast implementation of Wyner-Ziv video decoder using general-purpose computing on graphics processing units (GPGPU). Despite of its many advantages, Wyner-Ziv video coding has a problem of h...
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ISBN:
(纸本)9781424444618
In this paper, we report a fast implementation of Wyner-Ziv video decoder using general-purpose computing on graphics processing units (GPGPU). Despite of its many advantages, Wyner-Ziv video coding has a problem of huge decoding complexity. Since Slepian-Wolf decoding with rate adaptive LDPC accumulate code takes up more than 90% of entire Wyner-Ziv video decoding complexity, in this paper, we focus on fast implementation of the Slepian-Wolf decoder using the CUDA (Compute Unified Device Architecture) which is a GPGPU architecture developed by NVIDIA. Our implementation is shown to be 4~5 times (QCIF size) or 15~20 times (CIF size) faster compared to conventional Slepian-Wolf decoding.
In order to improve the throughput under delay limits for different applications in WLAN, A-MSDU and A-MPDU aggregation in IEEE 802.11n was analyzed, and a new physical layer super-frame technology was put forward to ...
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In order to improve the throughput under delay limits for different applications in WLAN, A-MSDU and A-MPDU aggregation in IEEE 802.11n was analyzed, and a new physical layer super-frame technology was put forward to further improve the performance. In noisy channel, the distributed coordination function (DCF) saturation throughput was derived and the impact of frame length on the throughput was discussed. Based on all these analysis, an algorithm of adaptive frame aggregation was proposed. The results show that on the condition of delay limits, there exists an optimal aggregation method to achieve maximum system throughput under a certain bit error rate (BER). Compared to the fixed frame, the proposed algorithm can effectively improve the throughput.
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