共查询到16条相似文献,搜索用时 109 毫秒
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设计了一种模块化的二维离散小波变换(2-D DWT)的VLSI结构.该结构可以实时完成小波变换,且很容易扩展.针对零树编码硬件实现方面的不足,利用一种简单的顺序扫描方式和两个标志阵列,设计了一种适合硬件实现的快速零树编码算法(FZIC)和FZIC硬件实现的VLSI结构,编写了2-D DWT和FZIC硬件结构的Veri log HDL模型,并进行了仿真和逻辑综合.结合2-D DWT和FZIC,实现了小波图像编码系统 ,并用ALTERA CPLD成功进行了验证. 相似文献
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文中通过深入研究三维离散小波变换(3D DWT)核心算法并根据序列图像编码的特点,设计并实现了一种适合硬件实现的高效的三维小波变换VLSI结构。编写了相应verilog模型,并进行了仿真和逻辑综合。仿真结果表明行列滤波并行处理并采用流水线设计方法,加快了运算速度,有效降低了片内存储容量。 相似文献
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基于小波图像编码的远程监控系统的设计与实现 总被引:1,自引:0,他引:1
小波变换由于其多分辨率特性而特别适合图像编码。该文设计了一种基于小波图像编码的远程监控系统。整个系统由本地监控端和远程主控端组成。本地监控端包括图像采集、小波变换图像编码和发送3个模块。小波变换图像编码由二维小波变换和零树编码组成。设计了监控端各个模块的硬件结构,编写了其硬件结构的Verilog HDL模型,进行了仿真和逻辑综合,并用FPGA进行了验证。编写了主控端的远程接收、控制软件,成功实现了基于小波图像编码的远程监控系统。 相似文献
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小波变换的图像编码方法,不仅拥有传统编码的优点,能够消除图像中的统计冗余,并且,其多分辨率的特性提供了消除非统计冗余信息的良好机制。基于离散小波变换(DWT)理论,介绍了DWT在数字图像压缩中的应用,使用零树编码实现了数字图像压缩,并同时保持原图像在各种分辨率下的精细结构,该方法对消除图像中非统计冗余信息提供了有效途径。 相似文献
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The authors propose new simple image coder based on a discrete wavelet transform (DWT). The DWT coefficients are coded in bit-planes. They use an improved version of the JBIG bi-level image compression method to code the DWT coefficient bit-planes. The experimental results are shown, both in distortion measurement and visual comparison, and are very promising 相似文献
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离散小波变换域非负张量分解的高光谱遥感图像压缩 总被引:3,自引:0,他引:3
该文提出一种基于非负张量分解的高光谱图像压缩算法.首先将高光谱图像的每个谱段进行2维离散5/3小波变换,消除高光谱图像的空间冗余.然后将所有谱段的每级小波变换的4个小波子带看作为4个张量.对每个小波子带张量采用改进HALS(Hierarchical Alternating Least Squares)算法进行非负分解,来消除光谱冗余和空间残余冗余,同时保护了光谱信息.最后,将分解的因子矩阵进行熵编码.实验结果表明,该文提出的压缩算法具有良好压缩性能,在压缩比32:1~4:1范围内,平均信噪比高于40 dB,与传统高光谱图像压缩算法比较,平均峰值信噪比提高了1.499 dB.有效地提高了高光谱图像压缩算法的压缩性能和保护了光谱信息. 相似文献
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An area-efficient high-throughput architecture based on distributed arithmetic is proposed for 3D discrete wavelet transform (DWT). The 3D DWT processor was designed in VHDL and mapped to a Xilinx Virtex-E FPGA. The processor runs up to 85 MHz, which can process the five-level DWT analysis of a 128times128times128 fMRI volume image in 20 ms 相似文献
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Wavelet image decompositions generate a tree-structured set of coefficients, providing an hierarchical data-structure for representing images. A new class of previously proposed image compression algorithms has focused on new ways for exploiting dependencies between this hierarchy of wavelet coefficients using “zero-tree” data structures. This paper presents a new framework for understanding the efficiency of one specific algorithm in this class we introduced previously and dubbed the space-frequency quantization (SFQ)-based coder. It describes, at a higher level, how the SFQ-based image coder of our earlier work can be construed as a simplified attempt to design a global entropy-constrained vector quantizer (ECVQ) with two noteworthy features: (i) it uses an image-sized codebook dimension (departing from conventional small-dimensional codebooks that are applied to small image blocks); and (ii) it uses an on-line image-adaptive application of constrained ECVQ (which typically uses off-line training data in its codebook design phase). The principal insight offered by the new framework is that improved performance is achieved by more accurately characterizing the joint probabilities of arbitrary sets of wavelet coefficients. We also present an empirical statistical study of the distribution of the wavelet coefficients of high-frequency bands, which are responsible for most of the performance gain of the new class of algorithms. This study verifies that the improved performance achieved by the new class of algorithms like the SFQ-based coder can be attributed to its being designed around one conveniently structured and efficient collection of such sets, namely, the zero-tree data structure. The results of this study further inspire the design of alternative, novel data structures based on nonlinear morphological operators 相似文献
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本文在分析混合分形零树小波图像编码算法(FZW)优缺点的基础上,提出一种新的基于方向性小波子树的分形图像编码算法。该算法结合零树小波编码和分形编码,通过在匹配搜索过程中使用方向性range和domain子树,提高匹配精度,改善了传统分形小波图像压缩中的方块效应,更大限度的保留了图像的边缘信息。实验结果表明,该算法在提高压缩比和去除图像的方块效应方面,均取得了良好的效果。 相似文献