Image denoise based on Curvelet transform

Qiaoling Yi, Yu Weng, Jiayong He
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引用次数: 5

Abstract

The Curvelet transform is a new transform for image processing which has being developed for last years. It makes the line as a basic cell for transforming, so it is able to represent smooth and edge parts of image with sparsity. Curvelet transform can provide stable, efficient, and near-optimal representation of otherwise smooth objects discontinuities along smooth curves. It is a multiscale transform which is more adapt to the image processing after wavelet transform.
基于Curvelet变换的图像去噪
曲波变换是近年来发展起来的一种新的图像处理变换。它将直线作为变换的基本单元,能够稀疏地表示图像的光滑部分和边缘部分。曲波变换可以提供稳定、高效和接近最优的表示,否则平滑对象沿着光滑曲线的不连续。它是小波变换之后的一种更适应图像处理的多尺度变换。
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