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Gray and Color Image Contrast Enhancement by the Curvelet Transform
Contrast enhancement curvelets ridgelets wavelets
2015/6/17
We present in this paper a new method for contrast enhancement based on the curvelet transform. The curvelet transform represents edges better than wavelets, and is therefore well-suited for multiscal...
Astronomical Image Representation by the Curvelet Transform
methods Data Analysis-techniques Image Processing
2015/6/17
We outline digital implementations of two newly developed multiscale representation systems, namely, the ridgelet and curvelet transforms. We apply these digital transforms to the problem of restoring...
独立分量分析（ICA）是基于信号高阶统计量的盲源分离方法，在高阶统计量方法中，由于高斯信号的高阶累计量为零，所以系统存在加性高斯噪声时就难以处理。提出了一种基于curvelet阈值去噪和FastICA算法的含噪信号盲分离的方法，并对高斯噪声环境下的混合图像进行了盲分离的仿真。结果表明，该方法能很好地解决由于存在加性高斯噪声而导致经典ICA算法性能发生严重恶化的问题；同时将curvelet变换去噪应...