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set partitioning hierarchical trees

Exploration of Distributed Image Compression and Transmission Algorithms for Wireless Sensor Networks

Exploration of Distributed Image Compression and Transmission Algorithms for Wireless Sensor Networks

... and Set Partitioning in Hierarchical Trees (SPIHT) algorithm of hierarchical wavelet tree set segmentation is proposed to effectively balance the energy consumption of each node ...

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Denoising and Compression of ECG for Memory Optimisation in Mobile Devices

Denoising and Compression of ECG for Memory Optimisation in Mobile Devices

... The smaller devices to wear, the easier they are to carry. Mobile ECG sensors are prone to a lot of noise. This paper discusses on denoising technique using wavelet transform. The size constraints have pushed researchers ...

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Adaptive Watermarking Based DCT with Set Partitioning in Hierarchical Trees

Adaptive Watermarking Based DCT with Set Partitioning in Hierarchical Trees

... Abstract: In this paper, we propose a new adaptive watermarking scheme. One first contribution is a DCT modulation which adaptively takes care of the local specificities of the image content. The suggested scheme uses ...

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An Efficient Pass Parallel SPIHT based Image Compression using Double Density Dual Tree Complex Wavelet Transform for WSN

An Efficient Pass Parallel SPIHT based Image Compression using Double Density Dual Tree Complex Wavelet Transform for WSN

... parallel Set Partitioning In Hierarchical Trees (SPIHT) with Double Density Dual Tree Complex Wavelet Transform (DDDTCWT) for compressing the WSN based ...

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Curvelet Based Efficient Image Compression Technique by Spiht with PSO

Curvelet Based Efficient Image Compression Technique by Spiht with PSO

... Abstract – In recent years, Curvelet Transform is the most preferred technique for image compression. It is proposed that an efficient and fast image compression scheme based on all level curvelet coefficients with SPIHT ...

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PSNR Comparison of Lifting Wavelet Decomposed Modified SPIHT Coded Image with Normal SPIHT Coding

PSNR Comparison of Lifting Wavelet Decomposed Modified SPIHT Coded Image with Normal SPIHT Coding

... the set of coefficients into subsets of insignificant coefficients and then identifies each significant coefficient ...as Set Partitioning in Hierarchical Trees ...

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A comparative analysis on the wavelet based image compression techniques

A comparative analysis on the wavelet based image compression techniques

... flexible set of tools for handling fundamental problems in science and engineering, such signal compression, image de-noising, image enhancement and image ...namely Set Partitioning In ...

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Image Compression Using SPIHT Techniques

Image Compression Using SPIHT Techniques

... A set partitioning in hierarchical trees algorithm and it will be eliminated from the subsets, then inserted into the LSP or it will be inserted into the ...

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Power-optimized log-based image processing system

Power-optimized log-based image processing system

... The continuous development of devices such as mobile phones and digital cameras has led to a higher amount of research being dedicated to the image processing field. Today's image-acquiring tools require battery-operated ...

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Enhanced Image Compression Algorithm for
          Image Processing Applications

Enhanced Image Compression Algorithm for Image Processing Applications

... The Set Partitioning In Hierarchical Trees (SPIHT) along with Run Length Encoding (RLE) increases the compression ratio without degrading the image ...

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FPGA Implementation Of DWT-SPIHT Algorithm For Image Compression

FPGA Implementation Of DWT-SPIHT Algorithm For Image Compression

... There are two types of image compression types and they are [1]Lossy compression [2]Lossless compression Lossy compression provides higher levels of data reduction but result in a less than perfect reproduction of the ...

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A Comparative Study and Analysis of EZW and SPIHT Methods for Wavelet Based Image Compression

A Comparative Study and Analysis of EZW and SPIHT Methods for Wavelet Based Image Compression

... Image compression is key technology used for transmission of huge amount of real time data such as image, audio and video on limited bandwidth network. It is necessary to reduce the size of data before the send over ...

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Low Memory Set-Partitioning in Hierarchical Trees Image Compression Algorithm

Low Memory Set-Partitioning in Hierarchical Trees Image Compression Algorithm

... Several works that reduced the memory requirements of the set partitioning algorithms are presented in the literature. A reduced memory version of SPIHT algorithm termed No List SPIHT (NLS) is presented in ...

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Holographic Image Compression using New Biorthogonal Wavelets

Holographic Image Compression using New Biorthogonal Wavelets

... and Set Partitioning in Hierarchical Trees, the image compression and image processing community as a whole has taken a turn to the study of wavelet ...

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A Memory Efficient and Faster Modification of Set Partitioning In Hierarchical Trees (SPIHT) Algorithm

A Memory Efficient and Faster Modification of Set Partitioning In Hierarchical Trees (SPIHT) Algorithm

... There is a parent-child relationship between the wavelet coefficients. Every coefficient at a given scale is related to a set of coefficients at the next finer scale of similar orientation. The coefficient at a ...

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Review and study of Image Compression and Comparison of SPECK and SPHIT Algorithms.

Review and study of Image Compression and Comparison of SPECK and SPHIT Algorithms.

... on hierarchical structures of transformed images has been a very effective and computationally simple ...a set-partitioning sorting algorithm called the Set-Partitioning In ...

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Hierarchical Bloom Filter Trees for Approximate Matching

Hierarchical Bloom Filter Trees for Approximate Matching

... In a Hierarchical Bloom Filter Tree (HBFT), the root node of the tree is a Bloom filter that represents the entire collection. A key feature of a Bloom filter is that it can say only whether an item is probably ...

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Aggregation via Set Partitioning for Natural Language Generation

Aggregation via Set Partitioning for Natural Language Generation

... Data For training and testing our algorithm, we employed a corpus of football game summaries col- lected by Barzilay and Lapata (2005). The corpus contains 468 game summaries from the official site of the American ...

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Hierarchical Bayesian level set inversion

Hierarchical Bayesian level set inversion

... the hierarchical MCMC algorithm produces similar outcomes regardless of the initialization of the inverse of the length-scale ⌧, reflecting ergodicity of the Markov ...the hierarchical chains used ...the ...

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Some results on set colorings of directed trees

Some results on set colorings of directed trees

... Then assign (k − 1)-elements subsets of X say, A to the vertices of P. Let N 1 be the set of all vertices which are at a distance one from P. Then assign remaining (k − 1)-elements subsets of X together with (k − ...

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