Search - The Contourlet Transform for Image Fusion

Search - The Contourlet Transform for Image Fusion - List

[Special Effects] 20070117051 DL : 0: 使用matlab进行图像融合,希望对大家有所帮助.-use Matlab for image fusion, we hope to help.
Update : 2025-02-17 Size : 20kb Publisher : 朱丹
[matlab] contourletHMT DL : 0: matlab官方网站中的用于图像融合技术的contourlet变换源代码，基于contourlet变换的图像融合技术明显优于基于小波变换的图像融合技术-matlab official website for image fusion technology Contourlet transform the source code, based on the Contourlet transform image fusion technology was superior based on wavelet transform image fusion technology
Update : 2025-02-17 Size : 3.1mb Publisher : 程蓉
[matlab] mycontourlet DL : 0: 基非下采样的Contourlet变换的图像融合，要放到NSCT工具包中执行-Under the base of non-sampling Contourlet transform image fusion, to put the implementation of the toolkit NSCT
Update : 2025-02-17 Size : 1kb Publisher : wangliang
[Wavelet] nsct_toolbox DL : 0: 多尺度图像非下采样轮廓波变换（NSCT）的工具箱，实现代码为Matlab版本。可用于图像的多尺度分析，如图像压缩、图像分割、图像融合和超分辨率等。-Multi-scale image nonsubsampled contourlet transform (NSCT) toolbox, code Matlab version. The images can be used for multi-scale analysis, such as image compression, image segmentation, image fusion and super-resolution.
Update : 2025-02-17 Size : 112kb Publisher : 王星
[Program doc] Contourlet DL : 0: 图像融合论文，基于非下采样Contourlet变换的医学图像融合方法-Image fusion method for medical image fusion papers, based on Nonsubsampled Contourlet transform the
Update : 2025-02-17 Size : 1.05mb Publisher : 冯洁
[Software Engineering] Multifocus-Image-Fusion-Based-on-NSCT DL : 0: Abstract—To overcome the difficulties of sub-band coefficients selection in multiscale transform domain-based image fusion and solve the problem of block effects suffered by spatial domain-based image fusion, this paper presents a novel hybrid multifocus image fusion method. First, the source multifocus images are decomposed using the nonsubsampled contourlet transform (NSCT). The low-frequency sub-band coefficients are fused by the sum-modified-Laplacian-based local visual contrast, whereas the high-frequency sub-band coefficients are fused by the local Log-Gabor energy. The initial fused image is subsequently reconstructed based on the inverse NSCT with the fused coefficients. Second, after analyzing the similarity between the previous fused image and the source images, the initial focus area detection map is obtained, which is used for achieving the decision map obtained by employing a mathematical morphology postprocessing technique. Finally, based on the decision
Update : 2025-02-17 Size : 2.37mb Publisher : senthil
[Wavelet] NSCT DL : 0: 非采样contourlet，与contourlet变换类似，用于提取图像特征，图像融合，非常好用，-Non sampling contourlet, similar to the contourlet transform, for the extraction of image features, image fusion, very easy to use,
Update : 2025-02-17 Size : 267kb Publisher : 高婷