In automatic fractal image compression, most of the encoding time is spent on finding the best match between each range block and the domain blocks. We propose the use of the local complexity of the image domain block...
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In automatic fractal image compression, most of the encoding time is spent on finding the best match between each range block and the domain blocks. We propose the use of the local complexity of the image domain blocks to reduce the number of pairs to be tested on this search. Indexing the contracted domain pools according to their local fractal dimension and using multiple contraction factors we can confine all potential matches to a relatively small number of possibilities. By selecting an appropriate criterion for close match, the compression time can be shortened without image quality degradation. The performance of the proposed algorithm, evaluated by means of fidelity versus encoding time and compression ratio, is compared with five approaches. Future developments can also improve the compression ratio by using fractal dimension in the definition of the size of range blocks.
Network-conscious image compression has been shown to provide faster progressive display than traditional compression algorithms, when images are transmitted over lossy low-bandwidth packet-switched networks. In this ...
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Network-conscious image compression has been shown to provide faster progressive display than traditional compression algorithms, when images are transmitted over lossy low-bandwidth packet-switched networks. In this paper, we combine the advantages of wavelet-based, network-conscious image compression with a blind digital image signature technique. Together these two approaches investigate progressive display where each progressive image can be authenticated by the receiver in real time.
This paper explores the application of the error resilient coding scheme, absolute addressed picture element coding (APEL), to progressive image transmission over narrow-band radio channels, such as HF. Picture elemen...
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This paper explores the application of the error resilient coding scheme, absolute addressed picture element coding (APEL), to progressive image transmission over narrow-band radio channels, such as HF. Picture element (pel) interleaving strategies are explored and APEL coding and its merits are discussed. Demonstrated through air-trial results, this novel image coding approach are shown to restrict error propagation through its unique coding structure and offer reconstructed images of increasing definition as transmissions progress.
In MPEG-2 HDTV, the bandwidth and size of memory requirements are very large. These requirements increase the system design difficulty and the hardware cost is high. There are a lot of compression algorithms that can ...
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In MPEG-2 HDTV, the bandwidth and size of memory requirements are very large. These requirements increase the system design difficulty and the hardware cost is high. There are a lot of compression algorithms that can reduce the size of the memory, but the algorithms are too complex. We propose a simple algorithm to provide low complexity hardware and high quality video. Our algorithm is based on the wavelet transform (WT) and we use two integer wavelet bases, so there are no multipliers needed. This will reduce the cost a lot in VLSI implementation. Following the WT, we use a variable-length coder to encode the data. For the memory access problem, we use group of macroblock segment coding and a hierarchical access method to reduce the access time.
We propose multi-level encoding and placement techniques to efficiently support the retrieval of video streams on a disk array at different resolutions. For the MPEG-1 compression algorithm, this encoding technique fi...
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We propose multi-level encoding and placement techniques to efficiently support the retrieval of video streams on a disk array at different resolutions. For the MPEG-1 compression algorithm, this encoding technique first partitions the parent video stream in the temporal dimension. Each frame in the sub-stream is then partitioned in the chroma dimension yielding a low-resolution and a residual component. The server stores blocks of a component on a disk and stores blocks of different components on consecutive disks in a round-robin manner. The lower the resolution level being maintained, the smaller is the number of disks accessed by each client.
In this paper, we propose a novel hierarchical statistical model for image wavelet coefficients. A simple classification scheme is used to construct a model that captures interscale and intrascale dependencies of wave...
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In this paper, we propose a novel hierarchical statistical model for image wavelet coefficients. A simple classification scheme is used to construct a model that captures interscale and intrascale dependencies of wavelet coefficients. Applications to image denoising are presented. We develop a simple algorithm that outperforms other wavelet denoising schemes that exploit first order statistics, or inter- or intra-scale dependencies alone.
General purpose motion estimation algorithms do not exploit the information available about the fixed characteristics of the video sequences in specific application domains. In this paper we propose to take advantage ...
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General purpose motion estimation algorithms do not exploit the information available about the fixed characteristics of the video sequences in specific application domains. In this paper we propose to take advantage of such information to develop efficient video compression algorithms and we apply the proposed approach to the highway monitoring application domain. The proposed approach allows also extracting selected features at the video compression level and more specifically those features related to object movements.
Many applications require high-quality color images. In order to alleviate storage space and transmission time, while preserving high quality, these images are losslessly compressed. Most of the image compression algo...
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Many applications require high-quality color images. In order to alleviate storage space and transmission time, while preserving high quality, these images are losslessly compressed. Most of the image compression algorithms treat the color image, usually in RGB format, as a set of independent gray-scale images. SICLIC is a novel inter-color coding algorithm based on a LOCO-like algorithm. It combines the simplicity of Golomb-Rice coding with the potential of context models in both intra-color and inter-color encoding. It also supports intra-color and inter-color alphabet extension, in order to reduce the redundancy of the code. SICLIC attains compression ratios superior to those obtained with most of the state-of-the-art compression algorithms and achieves compression ratios very close to those of inter-band CALIC, with much lower complexity. With arithmetic coding, SICLIC attains better compression than inter-band CALIC.
In this paper, a novel family of compression algorithms is presented, which is designed to exploit the redundancy of one-dimensional (1-D) semiperiodical biomedical signals resulting from the cyclic nature of the unde...
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In this paper, a novel family of compression algorithms is presented, which is designed to exploit the redundancy of one-dimensional (1-D) semiperiodical biomedical signals resulting from the cyclic nature of the underlying physical process, The basic idea is that a pool of past-seen cycles is maintained and cycles to be encoded can be stored as transformed versions of those residing in the pool, Conceptually, this approach is an extension of dictionary-based coding schemes used for text compression to signal patterns residing in an n-dimensional space. A cycle transformation method is introduced in order to render the pattern matching process practical and to enable cycle substitution, Based on the principles of the algorithmic family and this transformation method, an electrocardiogram (ECG)-oriented algorithm is implemented and thoroughly tested. The performance of this implementation is examined theoretically and deductions about the optimal algorithm settings are made, The ECG compression algorithm is superior to the average beat subtraction algorithm as proposed by Hamilton and Tompkins in cases where high compression ratios are required.
The need for efficient coding of ECG signals is continually increasing with modern use of long-term monitoring and telemedicine. Here, the authors present an algorithm based on long-term prediction (LTP) compression. ...
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The need for efficient coding of ECG signals is continually increasing with modern use of long-term monitoring and telemedicine. Here, the authors present an algorithm based on long-term prediction (LTP) compression. The single-channel LTP algorithm has been generalized to the multichannel case and is called the MC-LTP algorithm. This algorithm compresses PQRST beats using a pattern codebook with "typical" beats.
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