This paper presents an efficient algorithm with content aware spatial scalability for effective displaying on various screens of different sizes. It combines the set partitioning in hierarchicaltrees (SPIHT) algorith...
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This paper presents an efficient algorithm with content aware spatial scalability for effective displaying on various screens of different sizes. It combines the set partitioning in hierarchicaltrees (SPIHT) algorithm and the multiscale seam carving (MSC) algorithm in the compressed domain. As seams of insignificant wavelet trees can be discarded as early as possible, the burden of unnecessary computation and memory space is alleviated. Experimental results show that the proposed algorithm is preferable to other existing pixel-domain algorithms.
A method of compressing electroencephalographic signals using the set partitioning in hierarchicaltrees (SPIHT) algorithm is described. The signals were compressed at a variety of different compression ratios (CRs), ...
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A method of compressing electroencephalographic signals using the set partitioning in hierarchicaltrees (SPIHT) algorithm is described. The signals were compressed at a variety of different compression ratios (CRs), with the loss of signal integrity at each CR determined using the percentage root-mean squared difference between the reconstructed signal and the original. An analysis of the computational complexity of the SPIHT algorithm is also presented, using the Blackfin processor as an example implementation target.
The combination of integer lifting wavelet transform with set partitioning in hierarchical trees algorithm has been widely used in the field of image compression. Based on this algorithm, the paper presents a image co...
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ISBN:
(纸本)9781424427994
The combination of integer lifting wavelet transform with set partitioning in hierarchical trees algorithm has been widely used in the field of image compression. Based on this algorithm, the paper presents a image coding algorithm with lower memory and higher speed. The algorithm further takes Human Visual System into consideration and modifies SPIHT algorithm is according to the characteristic of weighted wavelet coefficients. Experiment result shows that, under the situation of low bit-rate, the new algorithm can prove the visual effect of reconstructed image at a certain degree. In addition, because the new algorithm has low memory requirement, the coding speed accelerates a lot. It has a very broad appliance future in the occasion of high desire of memory and speed.
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