Description: dctcom.m文件利用DCT变换完成对输入图像进行压缩；imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪，得到高频系数阈值，降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解；zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.-document the use of DCT transform dctcom.m completion of the input image compression imagecbe.m completion of the two RGB input image with wavelet analysis method of image fusion imagecom.m completion of the input RGB image using wavelet analysis method automatically drop noise, the threshold of high-frequency coefficient, noise reduction effect and the results of the percentage of wavelet1D.m completion of the input signals of one-dimensional discrete wavelet multi-scale decomposition wavelet2D completion of the input signals of two-dimensional discrete wavelet multi-scale decomposition zigzag.m completed the input of 8* 8 matrix of data collected in accordance with the zigzag order. Platform: |
Size: 3072 |
Author:zhouhao |
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Description: 用DCT变换和小波变换对全色光学图像和多光谱图像进行融合，生成同一图像。-Use DCT transform and wavelet transform of the panchromatic optical images and multi-spectral image fusion to generate the same image. Platform: |
Size: 2048 |
Author:czl |
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Description: 功能：将多光谱图像和全色图像融合，得到更丰富的细节信息。
全色光学图像空间细节的表现能力好，DCT变换后其主要特征集中在高频区域，而多光谱图像光谱成分丰富细腻，其主要特征集中于低频区域，因此对全色光学图像和多光谱图像分别进行DCT变换，通过适当的选择全色光学图像的高频部分和光谱图像的低频部分进行融合，进行逆DCT变换，就得到象素域的融合图像，为了增强融合效果，突出局部区域特征，采用对图像分块的原则。
-Function: the multi-spectral image and panchromatic image fusion, to be more extensive details. Panchromatic image spatial detail of the optical performance were good, DCT transform its main features focus on high-frequency region, while the spectral composition of multi-spectral images rich and delicate, its main features focusing on low-frequency region, so the full-color images and multispectral optical images DCT transform, respectively, by appropriate choice of full-color optical image of the high frequency part and low-frequency part of the spectral image fusion, the inverse DCT transform, we obtain the fused image pixel domain, in order to enhance the integration of results, highlighting the local area characteristics, using the principle of the image block. Platform: |
Size: 608256 |
Author:daiweiming |
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