搜索资源列表
2009_the_Algorithm_Improves_in_Dyadic_System_Owing
- 嵌入式系統中SPIHT算法改進的研究: 本文在重點分析研究SPIHT算法的基礎上,結合現有技術提出一種改進的SPIHT算法.改進的SPIHT算法通過采用提升小波變換、結合人眼視覺特性、對算法的分集排序過程進行優化等措施,進一步提高壓縮性能,而且圖像復原質量較好.-SPIHT algorithm for embedded systems to improve the research: In this paper, the focus of analysis in the SPIHT algori
hvsWaveletWatermark
- 关于对hvx人体视觉水印的编写。有小波水印的全过程：分解、嵌入、重构、提取。人体视觉的体现：三大重要系数的利用 -On the preparation of hvx human visual watermark. There wavelet watermark the entire process: decomposition, embedding, reconstruction, extraction. Human visual manifestation: the use of thr
noisecomp
- Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial
a-wavelet-transform-algorithm
- 基于人眼视觉模型的双正交小波变换算法，通过实验验证,该算法在对嵌入水印后的图像进行有损压缩、剪切、污染、添加各种噪声等处理后,提取出的水印仍表现出了较好的鲁棒性。-Human visual model based on biorthogonal wavelet transform algorithm, experiments show that the algorithm of the watermarked image lossy compression, shear, pollution,
ezwcodes
- EZW (Embedded Zerotrees of Wavelet Transforms) is a lossy image compression algorithm. At low bit rates (i.e. high compression ratios) most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very clos
Morlet-Wavelet-Kernel-by-Marcelo-Cicconet
- The Morlet wavelet (or Gabor wavelet) is a wavelet composed of a complex exponential (carrier) multiplied by a Gaussian window (envelope). This wavelet is closely related to human perception, both hearing and vision.
IRIS_UPDATE
- Iris code for human detection.it is based on wavelet transform and haar wavelet
Wavelet-Recognition-matlab
- 基于Yale-B和CMU-PIE 人脸库上的实验结果显示本文算法对复杂光照具有较强鲁棒性，具备提取复杂光照条件下人脸图像有效特征的能力。小波变换 特征提取 matlab仿真-Experimental results based on Yale-B and CMU-PIE face show that the proposed algorithm has a strong light on the complexity of robustness, with the extraction of
complete1
- This paper describe the features extraction algorithm for electrocardiogram (ECG) signal using Huang Hilbert Transform and Wavelet Transform. ECG signal for an individual human being is different due to unique heart structure. The purpose of feature
A58g
- This paper describe the features extraction algorithm for electrocardiogram (ECG) signal using Huang Hilbert Transform and Wavelet Transform. ECG signal for an individual human being is different due to unique heart structure. The purpose of feature
WYDP20
- An Automatic Wavelet-based Nonlinear Image Enhancement Technique for Aerial Imagery Recently we proposed a wavelet-based dynamic range compression algorithm to improve the visual quality of digital images captured in the high dynamic range
Human-Identification-Based-On-Gait-master
- Human-Identification-Based-On-Gait with hough transform and Haar Discrete Wavelet Transform at level 4