Description: PDTDFB toolbox
The filter bank is described in:
The Shiftable Complex Directional Pyramid—Part I: Theoretical Aspects
The Shiftable Complex Directional Pyramid—Part II: Implementation and Applications
IEEE transaction on singnal processing, Oct. 2008
Other related papers and software are available at:
nttruong.googlepages.com
Acknowledgement: The code development is based on the matlab code of the contourlet toolbox and the steerable pyramid.-PDTDFB toolboxThe filter bank is described in: The Shiftable Complex Directional Pyramid-Part I: Theoretical Aspects The Shiftable Complex Directional Pyramid-Part II: Implementation and Applications IEEE transaction on singnal processing, Oct. 2008 Other related papers and software are available at: nttruong . googlepages.com Acknowledgement: The code development is based on the matlab code of the contourlet toolbox and the steerable pyramid. Platform: |
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Author:chan man man |
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Description: #SurfBox: MATLAB and C++ toolbox that implements the new directional filter bank and the surfacelet transform as described in the paper Multidimensional directional filter banks and surfacelets.
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Size: 13272064 |
Author:dao |
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Description: BACKSAMP Backsampling the subband images of the directional filter bank
y = backsamp(y)
Input and output are cell vector of dyadic length
This function is called at the end of the DFBDEC to obtain subband images
with overall sampling as diagonal matrices
See also: DFBDEC- BACKSAMP Backsampling the subband images of the directional filter bank
y = backsamp(y)
Input and output are cell vector of dyadic length
This function is called at the end of the DFBDEC to obtain subband images
with overall sampling as diagonal matrices
See also: DFBDEC Platform: |
Size: 1024 |
Author:maple |
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Description: A filter bank structure that can deal effectively with piecewise smooth images with smooth contours, was proposed by Minh N Do and Martin Vetterli. The resulting image expansion is a directional multiresolution analysis framework composed of contour segments, and thus is named contourlet. This will overcome the challenges of wavelet and curvelet transform. Contourlet transform is a double filter bank structure. It is implemented by the pyramidal directional filter bank (PDFB) which decomposes images into directional subbands at multiple scales. In terms of structure the contourlet transform is a cascade of a Laplacian Pyramid and a directional filter bank. In essence, it first use a wavelet-like transform for edge detection, and then a local directional transform for contour segment detection. The contourlet transform provides a sparse representation for two-dimensional piecewise smooth signals that resemble images. Platform: |
Size: 14336 |
Author:Aynesh |
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Description: Using phase and magnitude information of the complex directional filter bank for texture image retri Platform: |
Size: 355328 |
Author:wang |
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Description: 这篇论文提出了一种较好的水下图像增强的方法。首先使用经过端到端训练的卷积神经网络去测量输入图片，同时以自适应双边滤波器对传输图片进行处理。接着提出一种基于白平衡的策略来消除图片的颜色偏差，用拉普拉斯金字塔融合获得无雾和色彩校正图像的融合结果。 最后，输出图像被转换为混合小波和方向滤波器组（HWD）域，用于去噪和边缘增强。 实验结果表明，该方法可以消除颜色失真，提高水下图像的清晰度。(This paper proposes a better underwater image enhancement method. Firstly, an end-to-end training convolutional neural network is used to measure the input image, and an adaptive bilateral filter is used to process the transmitted image. Then a strategy based on white balance is proposed to eliminate the color deviation of images. The fusion results of fog-free and color correction images are obtained by Laplacian pyramid fusion. Finally, the output image is converted into hybrid wavelet and directional filter bank (HWD) domain for denoising and edge enhancement. The experimental results show that the method can eliminate color distortion and improve the clarity of underwater images.) Platform: |
Size: 37983232 |
Author:凫枭 |
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