搜索资源列表
Wavelet
- 很好的小波应用实例文档，介总结内容有小波用于去噪、图像压缩、边界扭曲、图像融合、小波包的分解和重构等等，附详细的MAMTLAB代码-Application of wavelet good document, refer to summarize the contents of wavelet denoising, image compression, border distortions, image fusion, wavelet packet decomposition and recons
tian
- 改进的小波图像维纳滤波程序，可用于图像的去噪和重构。-Wiener filtering of wavelet image improvement program can be used for image denoising and reconstruction.
yLLEcode
- 高分辨率的图像重构经过稀释的表示的算法及其实现-Said high-resolution reconstruction of the diluted
LinearDiscriminantAnalysis
- 提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图 像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别 程度。-A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognitio
Multifocusimage
- 提出了一种基于第二代曲波变换的多聚焦图像融合方法。将两幅源多聚焦图像分别进行第二代曲波变换分解，得到各自的低频 子带系数和各带通方向子带系数；采用一定的融合规则对曲波变换系数进行组合得到融合图像的曲波系数；最后对得到的曲波系数进行曲波 重构得到融合图像。实验结果表明，该方法的融合效果明显优于常见的融合方法-Proposed a second generation curvelet transform based multi-focus image fusion method. Two m
MPimage
- 使用MP将图像稀疏分解并且精确重构，其中使用2D的GA原子-MP will use the image sparse decomposition and perfect reconstruction, in which the GA using 2D atomic
waveletpaper
- 一大学生编写的基于小波理论的图像重构和降噪演示，理论例程适合初学-image identification by wavelete
3dreconstructionpart3
- 图像处理中三维重构中特征点的调整，可以对特征点分类进行自动调整。-Three-dimensional reconstruction in image processing to adjust the feature points, feature points can be automatically adjusted classification.
Image-Process-based-on-wavelet
- 基于小波变换的 图像分解与重构 平台是Matlab 可自己更改小波基的选择-Image based on wavelet transform decomposition and reconstruction platform is Matlab can change their choice of wavelet
wavelet
- 二维图像加噪声，通过小波变换分解，压缩，实现图像重构-Two-dimensional image plus noise, through the Wavelet decomposition, compression, Image reconstruction
sy1_4
- 读取图像lena.tif，进行DCT变换，每个图像块保留10个DCT系数进行重构图像，比较重建图像与原始图像的差异。-Read the image lena.tif, the DCT transform, each image block of 10 DCT coefficients to retain the reconstructed image, reconstructed image compared with the original image differences.
dpcm
- 用matlab语言实现的将图像的进行dpcm编码算法，之后进行图像重构，进行前后图像的对比。-With matlab language will be dpcm image coding algorithm, after the image reconstruction, the images before and after contrast.
20100203
- 用matlab语言实现的将图像的进行dpcm编码算法，之后进行图像重构，进行前后图像的对比。-With matlab language will be dpcm image coding algorithm, after the image reconstruction, the images before and after contrast.
image-reconstruction
- 采用二维方法进行的图像重构 可以替换多个模板。重构质量可以通过参数调整-Two-dimensional image reconstruction methods can replace several templates. Reconstruction quality can be adjusted through the parameters
Haar-wavelet-image--processing
- 用matlab编写的基于Haar小波变换的图像增强处理，同时可实现小波正变换，小波逆变换，实现小波分解与重构源代码。-Written by matlab Haar wavelet-based image enhancement processing, and can achieve positive wavelet transform, inverse wavelet transform, wavelet decomposition and reconstruction to achieve t
wave
- 此压缩包包含有小波变换图像处理的多个matlab源代码，包括：小波分解，小波系数分解，小波重构，小波灰值处理等-This compression bag contains wavelet transform image processing of multiple matlab source, including: wavelet decomposition, wavelet coefficients of wavelet decomposition and so on
Overview-on-super-resolution
- 图像超分辨率重建可以利用多幅具有互补信息的低分辨率图像重构一幅高分辨率的图像, 该技术已经成 为图像处理领域的研究热点。介绍了图像超分辨率重建的基本原理, 阐述了超分辨率重建技术与其它相关图像处理技 术的关系 系统地总结了图像超分辨率重建中常用的运动估计方法、运算方式和质量评价方法。-Image super-resolution reconstruction can take advantage of complementary information in multiple low-r
img_bp
- 图像信号的压缩感知重构算法，包含有bp,omp算法的比较程序。-Image signal compression perception reconstruction algorithm, containing the bp, omp of algorithms of comparison procedures.
wavalet
- 通过小波变换对图像信号进行分解，去噪，压缩再重构，得到处理后的图像-Images using wavelet transform signal decomposition, denoising, compression and then reconstructed to obtain the processed image
JPEG2000
- 实现了单色图像的JPEG2000编码图像和解码图像！计算其压缩比和误差，观察源图像和重构图像之间的差别！-JPEG2000 images to achieve a monochrome image coding and decoding image! Calculate the compression ratio and error, observation of the source image and the difference between the reconstructed imag