In this paper the embedded zerotree wavelet (EZW) method and Huffman coding are proposed to compress infrared (IR) spectra. We found that this technique is much better than others in terms of efficiently coding wavele...In this paper the embedded zerotree wavelet (EZW) method and Huffman coding are proposed to compress infrared (IR) spectra. We found that this technique is much better than others in terms of efficiently coding wavelet coefficients because the zerotree quantization is an effective way of exploiting the self-similarities of wavelet coefficients at various resolutions.展开更多
In order to satisfy the need of diagnoses,based on the characteristic of medical images that a sequence of frames are formed in one body inspection,a new strategy for medical images compression is proposed.The 3-D wav...In order to satisfy the need of diagnoses,based on the characteristic of medical images that a sequence of frames are formed in one body inspection,a new strategy for medical images compression is proposed.The 3-D wavelet is adopted and the planar zerotree is extended to the 3-D zerotree.By making use of the 3-D zerotree structure,a simple method for region of interest(ROI)mask generation is put forward.Medical images are compressed by three-dimensional embedded coding with the compression of regions of interest.Simulation results have shown that it can efficiently improve the compression ratio without affecting the diagnoses.展开更多
基金supported by the National Natural Science Foundmion of China(No.29877016).
文摘In this paper the embedded zerotree wavelet (EZW) method and Huffman coding are proposed to compress infrared (IR) spectra. We found that this technique is much better than others in terms of efficiently coding wavelet coefficients because the zerotree quantization is an effective way of exploiting the self-similarities of wavelet coefficients at various resolutions.
基金supported by the National Natural Science Foundation of China(Grant No.60272050).
文摘In order to satisfy the need of diagnoses,based on the characteristic of medical images that a sequence of frames are formed in one body inspection,a new strategy for medical images compression is proposed.The 3-D wavelet is adopted and the planar zerotree is extended to the 3-D zerotree.By making use of the 3-D zerotree structure,a simple method for region of interest(ROI)mask generation is put forward.Medical images are compressed by three-dimensional embedded coding with the compression of regions of interest.Simulation results have shown that it can efficiently improve the compression ratio without affecting the diagnoses.