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Yang C.-C.,Tatung Institute of Commerce and Technology
Optik | Year: 2014

We demonstrate a new finding that the filtering-mask with merely four coefficients in the vertical and horizontal directions could be the best choice to achieve finest image sharpening. The mask's merit to better magnify highest spatial frequencies is unveiled by employing the nonlinear transfer function, which has been proved liable to reduce the overshooting effect. By use of this chosen mask, the enhanced image is capable of manifesting extreme sharpness. © 2013 Elsevier GmbH.


We demonstrate a brand-new method to sharpen a color image by using the integral mask-filtering technique. The high and low frequency messages between the target pixel and its neighbors are transferred by nonlinear functions. Both intensity and saturation factors of the HSV color system are taken into account. The obtained final image has clearer fine characteristics along with much less overshooting. © 2014 Elsevier GmbH. All rights reserved.


Yang C.-C.,Tatung Institute of Commerce and Technology
Optik | Year: 2011

We demonstrate a novel method to modify the mask-filtering approach by enlarging the gray-level difference of any two nearby pixels in an image. Derivatives are calculated in different directions respectively instead of isotropically. Some higher spatial frequencies are then selectively magnified. The final image has better sharpened fine characteristics than that enhanced by the conventional technique. © 2010 Elsevier GmbH. All rights reserved.


Yang C.-C.,Tatung Institute of Commerce and Technology
Optik | Year: 2013

We demonstrate an extended mask-filtering approach to improve the sharpness of an image with non-uniform illumination. The proposed method comprises two different masks which cope with higher and lower spatial frequencies respectively. By using this integral algorithm, the enhanced image has much better performance than that derived from the conventional technique. © 2013 Elsevier GmbH.


We demonstrate an improved mask-filtering approach by reducing the impact of the major factors that originate the overshooting phenomenon. The derivatives between the target pixel and its neighbors are transferred by nonlinear calculations instead of the traditional linear one. The obtained final image has clearer fine characteristics but much less unwanted overshooting which is usually found in the conventional techniques. © 2012 Elsevier GmbH. All rights reserved.

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