GNSS_spectrum

说明：  对高光谱图像进行分类，处理。使用tensorflow框架(Classify and process hyperspectral images. Using tensorflow framework)

数字图像处理中的可逆水印算法，基于差值扩展而得，其容量与其图像像素有关。(The reversible watermarking algorithm in digital image processing is based on the spread of the difference, and its capacity is related to the pixel of the image.)

可以识别图像的边缘，提取图像边缘轮廓，且程序简单易懂，方便初学者学习。(You can recognize the edges of images.)

说明：  实现j基于patch的图像修复，可以比较好的实现功能(The image repair based on Patch can realize better function, based on Matlab not relayed on C.)

基于支持向量机方法的图像分割与目标分类.介绍了支持向量机用于车辆图像分类。以及用于单目标图像的分割和多目标图像的分割，介绍的较为详细。(Method of image segmentation based on support vector machine (SVM) and the target classification. This paper introduces the support vector machine (SVM) is used to vehicle image classification. And for single target image segmentation and target image segmentation, introduced detailed.)

cad 模拟动画软件， 模拟动画软件， 模拟动画软件(cad)

非下采样contourlet变换用于图像降噪，多尺度几何分析的应用。 (Contourlet transform non-down-sampling for image noise reduction, multi-scale analysis of the application of geometry.)

说明：  对文字识别并计算7个不变矩的matlab源程序(right words to identify and calculate seven unchanged Moments Matlab source)

利用GPU加速的SIFT算法，实现影像匹配，并利用RANSAC进行粗差的剔除(GPU-accelerated use SIFT algorithm to achieve image matching, and use RANSAC removing coarse poor)

说明：  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.)