【摘要】 提出一种新颖的基于局部极值的强边界与高对比度纹理的定义。使用这个定义提出一种保留边界的平滑算法,通过将算法迭代运用在基层上面进行多尺度图像分解。同时算法可以抽取图像高对比度纹理,但同时可以保留图像的强边界。该方法可以高效地使用在多尺度图像分解的各种应用中,如高动态范围图像的色调映射、图像细节增强、图像去噪。更多还原

【Abstract】 This paper raises a new definition of strong edge and high-contrast texture which is based on local extrema.By using this definition we propose a smoothing algorithm which can preserve edges,by iteratively applying the algorithm to basic level,the multi-scale image decomposition is achieved.This algorithm can manage to extract high-contrast texture and preserve strong edges at the same time.The method can be effectively used in a lot of application of multi-scale image decomposition such as HDRI tone mapping,image details enhancement,image denosing,etc.更多还原