Combined Enhancement Algorithm Based on Muti-Scale Analysis

摘要：

　　Based on combinations of wavelet and curvelet transforms,an adaptive combined enhancement algorithm (ACEA) was proposed to solve the problems of the conventional method for image enhancement based on wavelet transform that the enhancement of edges whose contrast was same but angles were different was greatly different.The algorithm uses the wavelet transform to enhancement homogeneous areas and the curvelet transform to enhancement areas with edges.Simulation experiment results demonstrated that the algorithm got better cross entropy and CORR,improved effectively the effect of edge enhancement with good visual effect.

关键词： wavelet transform curvelet transform muti-scale analysis

作者: YUAN Wei-guo WANG Song

作者单位: Applied Technology School, University of Science & Technology Liaoning Anshan, China Anshan longteng network co., LTD Anshan, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 1553-1556

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）