Inversion of picture operators
Pattern Recognition Letters
A cubic unsharp masking technique for contrast enhancement
Signal Processing
An Improved Unsharp Masking Method for Palmprint Image Enhancement
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2
Computer-aided detection and diagnosis of breast cancer with mammography: recent advances
IEEE Transactions on Information Technology in Biomedicine
An evaluation of contrast enhancement techniques for mammographic breast masses
IEEE Transactions on Information Technology in Biomedicine
Image enhancement via adaptive unsharp masking
IEEE Transactions on Image Processing
International Journal of Measurement Technologies and Instrumentation Engineering
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In digital mammographic images the characteristics of lesions get enhanced upon the application of conventional Unsharp Masking (UM) algorithms, but on doing so the pixels go out of range; this constraint can be handled if rescaling process is performed on the enhanced images. The proposed UM approach combines nonlinear enhancement operator (using sigmoid) and region segmentation using log-ratio operators. Unlike linear operators, log-ratio operators eliminate the need of scaling process to be applied on the enhanced images. Experimental results show that the proposed approach offers potential advantage in medical applications by enhancing lesion details in digital mammographic images.