A Three-Step Approach with Adaptive Additive Magnitude Selection for the Sharpening of Images
Aimed to find the additive magnitude automatically and adaptively, we propose a three-step and model-based approach for the sharpening of images in this paper. In the first pass, a Grey prediction model is applied to find a global maximal additive magnitude so that the condition of oversharpening i...
Main Authors: | Lih-Jen Kau, Tien-Lin Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/528696 |
Similar Items
-
An Efficient and Self-Adapted Approach to the Sharpening of Color Images
by: Lih-Jen Kau, et al.
Published: (2013-01-01) -
Content-Adaptive Automatic Image Sharpening
by: Tajima, Johji, et al.
Published: (2010) -
An adaptive optics system for astronomical image sharpening
by: Doel, A. P.
Published: (1990) -
Image sharpening metrics and search strategies for indirect adaptive optics
by: Doble, Nathan
Published: (2000) -
Effect of image sharpening on radiographic image quality
by: Abramovitch, K., et al.
Published: (2018)