摘要
针对传统的基于小波变换的图像增强算法中,对比度相同幅角不同边缘增强效果差异较大的问题,提出了基于小波和曲波变换相结合的自适应组合增强算法。该算法利用小波变换去增强图像的平滑区域,并利用曲波变换增强图像边缘。仿真实验结果表明,该算法在使图像具有很好的交叉熵和相关系数的同时,能够有效地改善边缘增强效果,使图像具有更好的视觉效果。
Based on combinations of wavelet and curvelet transforms, a adaptive combined enhancement algorithm （ACEA） is proposed to solve the problems of the conventional method for image enhancement based on wavelet transform that the enhancement of edges, whose contrast is same but angles are different, is greatly different. The algorithm uses the wavelet transform to enhancement homogeneous areas and the curvelet transform to enhancement areas with edges. Experiment results show that the algorithm gets better cross entropy and CORR, and improves the effect of edge enhancement with good visual effect.
出处
《工程图学学报》
CSCD
北大核心
2009年第3期100-104,共5页
Journal of Engineering Graphics
基金
国家自然科学基金资助项目(60602042)
