A novel low contrast image enhancement approach based on the second generation curvelet is proposed.It overcomes the shortcomings of conventional methods,such as sensitively to noise and local over-enhancement.Firstly,the source image is decomposed by Curvelet transform.Then a kind of nonlinear enhancing function is applied to enhance the image’s global contrast in the low frequency subbands,and combining threshold denoising method with non-linear gain method to reduce the noise and enhance the details of i...
【基金】
江苏省社会发展科技项目 the Societal Development Research Project of Jiangsu Province, China under Grant No.BS2007058) ;
河海大学科技创新基金(No.06B002-02);
常州市国家高新区科技项目(No.XE120060408)
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