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SPIHT

于 2010-10-09 发布 文件大小:57KB
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代码说明：

  通过多分辨率分解，实现红外图像的增强，改善图像的对比度(Through a multi-resolution decomposition, to achieve enhanced infrared image)

文件列表：

SPIHT
.....\childMat.asv,764,2007-12-09
.....\childMat.m,869,2007-12-09
.....\coef_DOL.asv,789,2007-12-07
.....\coef_DOL.m,949,2007-12-09
.....\coef_H.asv,577,2007-12-07
.....\coef_H.m,599,2007-12-07
.....\decnum2bin.asv,639,2007-12-05
.....\decRefine.asv,848,2007-12-06
.....\decRefine.m,953,2007-12-07
.....\downspl.m,307,2007-06-20
.....\flor.m,34,2007-06-08
.....\fracnum2bin.asv,1722,2007-12-06
.....\fracnum2bin.m,1869,2007-12-07
.....\hs_err_pid3152.log,14579,2007-12-09
.....\isImtCoefSet.asv,199,2007-12-05
.....\isImtValue.asv,159,2007-12-04
.....\lip_decode.asv,1469,2007-12-07
.....\lip_decode.m,1727,2007-12-07
.....\lip_scan.asv,1113,2007-12-07
.....\lip_scan.m,1373,2007-12-07
.....\listorder.asv,1244,2007-12-07
.....\listorder.m,1354,2007-12-07
.....\lis_decode.asv,4613,2007-12-07
.....\lis_decode.m,4779,2007-12-07
.....\lis_scan.asv,4739,2007-12-07
.....\lis_scan.m,4739,2007-12-09
.....\mat2list.m,367,2007-12-05
.....\Modify-SPIHT
.....\............\childMat.asv,764,2007-12-09
.....\............\childMat.m,989,2007-12-11
.....\............\coef_DOL.asv,789,2007-12-07
.....\............\coef_DOL.m,963,2007-12-11
.....\............\decRefine.asv,848,2007-12-06
.....\............\decRefine.m,780,2007-12-11
.....\............\downspl.m,307,2007-06-20
.....\............\flor.m,34,2007-06-08
.....\............\fracnum2bin.m,1869,2007-12-07
.....\............\listorder.asv,1244,2007-12-07
.....\............\listorder.m,1354,2007-12-07
.....\............\modmat.m,500,2007-06-20
.....\............\mydwt.m,1360,2007-07-30
.....\............\mydwt2.m,1257,2007-11-13
.....\............\myidwt.m,1202,2007-06-19
.....\............\myidwt2.m,1079,2007-06-19
.....\............\mywavedec2.m,1211,2007-12-09
.....\............\mywaverec2.m,1689,2007-12-11
.....\............\SnOut.asv,513,2007-12-09
.....\............\SnOut.m,677,2007-12-09
.....\............\spiht.asv,1077,2007-12-09
.....\............\spiht.m,903,2007-12-11
.....\............\spihtcoding.asv,3882,2007-12-11
.....\............\spihtcoding.m,3907,2007-12-11
.....\............\spihtdecoding.asv,5111,2007-12-11
.....\............\spihtdecoding.m,4915,2007-12-11
.....\............\treeMat.asv,610,2007-12-04
.....\............\treeMat.m,727,2007-12-11
.....\............\upspl.m,430,2007-06-19
.....\modmat.m,500,2007-06-20
.....\morton.m,198,2007-11-29
.....\mydwt.m,1360,2007-07-30
.....\mydwt2.m,1257,2007-11-13
.....\myidwt.m,1202,2007-06-19
.....\myidwt2.m,1079,2007-06-19
.....\mywavedec2.m,1211,2007-12-09
.....\mywaverec2.m,1685,2007-12-09
.....\refinement.asv,914,2007-12-06
.....\refinement.m,972,2007-12-06
.....\SnOut.asv,513,2007-12-09
.....\SnOut.m,677,2007-12-09
.....\spiht.asv,1077,2007-12-09
.....\spiht.m,1062,2007-12-11
.....\spihtcoding.asv,3563,2007-12-09
.....\spihtcoding.m,3359,2007-12-09
.....\spihtdecoding.asv,2936,2007-12-09
.....\spihtdecoding.m,3003,2007-12-09
.....\treeMat.asv,610,2007-12-04
.....\treeMat.m,661,2007-12-04
.....\updaImtVal.asv,237,2007-12-06
.....\upspl.m,430,2007-06-19

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  • Astar
    说明：  代码很好的实现了基于a-star的最短路径寻找算法，并可以对寻找的路径有一个限制(Code is a good realization of a-star-based shortest path search algorithms, and can find the path there is a limit)
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    积分：1
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    盲水印提取时不需要参考原始载体图像,在信息隐藏、版权保护等方面具有更广泛的应用前景。提出的盲水印算法在分块离散余弦变换(DCT)和离散小波变换(DWT)的基础上,利用关系双方DCT系数和DWT系数在受到攻击时具有相同变化趋势的特点,采用关系嵌入和量化嵌入的自适应选择嵌入策略,较大幅度地提高了盲水印提取的鲁棒性。同时在量化嵌入中采用抖动调制,实现了水印透明性和鲁棒性调节的便捷性。大量仿真实验结果表明该算法对噪声干扰、低通滤波、JPEG压缩、对比度增强等攻击有很好的鲁棒性和透明性。关键词 数字水印盲水印关系嵌入量化嵌入离散余弦变换离散小波变换 按这篇文章的算法，自己编的matlab,没有攻击时水印提取率为1，加水印后图像PSNR有45+，。有攻击后提取率也有0.9+。(Blind watermark extraction can be fulfilled without referring to the original host image. Therefore it hasmuch prospective applications in the fields of information hiding and copyright protection. Based on blocking Discrete Cosine Transform (DCT) and blocking DiscreteWaveletTransform (DWT), the proposed blind watermarking algorithm uses an embedding strategy of adaptively selecting either relationship embedding or quantization embedding. The relationship em- bedding comes from the observation thatboth themagnitudes of coefficients concerned in the relationship usually have thesame change trend when the image is attacked. This strategy remarkably improves the robustness ofwatermark extraction.In addition, dithermodulation is used in quantization embedding, bywhich the tradeoff between transparency and robus-tness ofwatermarking can be easily adjusted. Simulation results show that the algorithm is fairly robust against the attacks such as noise, filtering, compression, and contrast )
    2013-04-14 16:15:47下载
    积分：1
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    2013-04-10 11:29:49下载
    积分：1
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    2020-12-03 18:49:25下载
    积分：1
  • tuxiang
    图像分割关系到目标识别的精度，是目标检测的关键一步，其中提供了一些图像分割的代码，主要为otsu算法的分割方法，很实用(s related to the accuracy of target recognition, image segmentation is a critical step in target detection, provides some image segmentation code, very useful)
    2013-10-18 17:49:06下载
    积分：1
  • Susan
    说明：  Susan角点提取检测，进行图像处理，主要运用在数字水印特征提取方面(Susan,In the aspect of image feature extraction, watermark is mainly used for corner detection)
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    积分：1
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    2012-01-10 21:03:36下载
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    2008-12-18 17:01:38下载
    积分：1
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