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matlab
用PCA方法对图像进行压缩、还原-PCA method using matlab image compression, restore
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高光谱图像的一系列处理包括了例如融合压缩pca变换等等等等的程序。-Hyperspectral image processing includes a series of transformations such as the integration of compression pca, etc., etc. procedures.
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the code conducts the image compression of the gray scale image up to 90 using 4 algos fft wavelet pca and cosine transform-the code conducts the image compression of the gray scale image up to 90 using 4 algos fft wavelet pca and cosine transform
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用PCA算法在matlab平台上对图像进行压缩与解压缩，内含测试图像，能直接在matlab上运行使用，对学习PCA算法有帮助。-PCA algorithm used in matlab platform for image compression and decompression, containing the test images, can be run directly on matlab, PCA algorithm is helpful for learning.
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结合PCA的尺度不变特征变换(SIFT)算法，实现了图像的加水印，去噪，加噪声等功能，线性调频脉冲压缩的Matlab程序。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Realize image watermarking, de-noising, plus noise and other functions, LFM pulse compression of the Matlab program.
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是学习PCA特征提取的很好的学习资料，包括压缩比、运行时间和计算复原图像的峰值信噪比,通过matlab代码。- Is a good learning materials to learn PCA feature extraction, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, By matlab code.
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结合PCA的尺度不变特征变换(SIFT)算法，包括压缩比、运行时间和计算复原图像的峰值信噪比,这是第二能量熵的matlab代码。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, This is the second
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PCA实现图像压缩 matlab代码，根据pca选出累计概率达到90%的特征，作为新的特征，并根据新的特征实现图像的重建(PCA implementation of image compression Matlab code)
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