Description: 本文借助多尺度分析为手段，
研究医学图像配准与融合过程中医学图像的增强、插值、配准、融合和分割等
关键问题的理论方法研究，扩展了尺度的含义，使其不再局限在通常的小波分
析和形态学两个方面。-In this paper, using multi-scale analysis as a means to study the medical image registration and fusion process of medical image enhancement, interpolation, registration, integration and division of such key issues as the theoretical study of the meaning of the expansion of the scale so that it no longer confined to wavelet analysis in the usual two aspects and morphology. Platform: |
Size: 2545664 |
Author:媛媛 |
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Description: 在图像增强的处理过程中采用了小波增强的方法，对模糊图像有一定的作用-In the image enhancement process to enhance the use of the wavelet method, the blurred image to a certain extent Platform: |
Size: 1024 |
Author:王小 |
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Description: 基于小波变换的图像增强，包含整个处理过程-Image enhancement based on wavelet transform, including the whole process Platform: |
Size: 1024 |
Author:王宏伟 |
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Description: 这是一个图像增强的应该实例，首先画出原始图像，下来进行图像的增强处理，用sym4小波对x进行2层小波分解，对处理后的系数进行重构，最后画出重构图像。-This is an instance of image enhancement should first draw the original image, down to the image enhancement processing, with sym4 x for 2-layer wavelet wavelet decomposition, the coefficients of the reconstruction process after the final draw the reconstructed image. Platform: |
Size: 1024 |
Author:weisiyu |
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Description: 本文将小波图像分解和信息熵特征提取相结合，提出一种新的掌纹特征提取算法。该算法首先对掌纹灰度图像进行二维小波分解，再利用多分辨信息熵分别计算不同尺度下的能谱熵作为特征向量，从而实现掌纹特征提取。该算法不但避免了图像增强和纹理细化等预处理过程，而且运用多分辨信息熵的自适应计算方法来调节分解级数，使得到的特征向量长度远小于传统算法。-In this paper, wavelet image decomposition and information entropy feature extraction combined propose a new feature extraction algorithm. The algorithm first palmprint grayscale image two-dimensional wavelet decomposition, reuse multiresolution information entropy were calculated at different scales of the energy spectrum entropy as feature vectors, enabling feature extraction. The algorithm not only avoids the preprocessing such as image enhancement and texture refinement process, and the use of multi-resolution information entropy adaptive calculation method to regulate the decomposition level, so that the length of the feature vector obtained is far smaller than the conventional algorithm. Platform: |
Size: 8443904 |
Author:wei |
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Description: 本文将小波图像分解和信息熵特征提取相结合，提出一种新的掌纹特征提取算法。该算法首先对掌纹灰度图像进行二维小波分解，再利用多分辨信息熵分别计算不同尺度下的能谱熵作为特征向量，从而实现掌纹特征提取。该算法不但避免了图像增强和纹理细化等预处理过程，而且运用多分辨信息熵的自适应计算方法来调节分解级数，使得到的特征向量长度远小于传统算法。-In this paper, wavelet image decomposition and information entropy feature extraction combined propose a new feature extraction algorithm. The algorithm first palmprint grayscale image two-dimensional wavelet decomposition, reuse multiresolution information entropy were calculated at different scales of the energy spectrum entropy as feature vectors, enabling feature extraction. The algorithm not only avoids the preprocessing such as image enhancement and texture refinement process, and the use of multi-resolution information entropy adaptive calculation method to regulate the decomposition level, so that the length of the feature vector obtained is far smaller than the conventional algorithm. Platform: |
Size: 1056768 |
Author:wei |
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Description: In this paper, we describe an approach to the problem
of simultaneously enhancing image sequences and tracking the objects of interest represented by the latter. The enhancement part
of the algorithm is based on Bayesian wavelet denoising, which
has been chosen due to its exceptional ability to incorporate diversea prioriinformation into the process of image recovery Platform: |
Size: 2400256 |
Author:Linh |
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Description: the document gives us information regarding the wavelet transforms which can be used for enhancement process of image. Platform: |
Size: 2425856 |
Author:nilesh |
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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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Search - wavelet image enhancement process