An improved unsharp masking sharpening algorithm for image enhancement
Ruya Guan, Yi Wan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
A new method is proposed on unsharp masking sharpening technique for image enhancement, and it suppresses the noise sensitivity widely existing in traditional unsharp masking sharpening algorithm. This algorithm can efficiently suppress the noise in relatively flat regions, it sharpens and enhances the regions which require sharpening and enhancement. In this paper, we use the different gradient weighting coefficients according to the weight distribution to process the different detailed regions. By taking advantage the characteristics of human vision, it efficiently enhances the particular region that is sensitive to the human eyes. Compared with several unsharp masking sharpening algorithms, this algorithm can efficiently suppress the noise in the image, smooth the relatively flat region, and enhance the details.