Abstract
In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing. And apply it to color image processing. The proposed structure is similar to the conventional unsharp masking structure, however, a nonlinear function is added to control the behavior of the operator. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates the noise in flat areas. Moreover the use of the control function eliminates the need for the subjective coefficient A used in the conventional unsharp masking technique. Simulations show that the processed image presents sharp edges which makes it more pleasant to the human eye. Moreover, the amount of noise in the image is clearly reduced.
| Original language | English |
|---|---|
| Journal | European Signal Processing Conference |
| Volume | 1998-January |
| Publication status | Published - 1998 |
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ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
Cite this
Unsharp masking-based approach for color image processing. / Cheikh, Faouzi Alaya; Khriji, Lazhar; Gabbouj, Moncef.
In: European Signal Processing Conference, Vol. 1998-January, 1998.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Unsharp masking-based approach for color image processing
AU - Cheikh, Faouzi Alaya
AU - Khriji, Lazhar
AU - Gabbouj, Moncef
PY - 1998
Y1 - 1998
N2 - In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing. And apply it to color image processing. The proposed structure is similar to the conventional unsharp masking structure, however, a nonlinear function is added to control the behavior of the operator. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates the noise in flat areas. Moreover the use of the control function eliminates the need for the subjective coefficient A used in the conventional unsharp masking technique. Simulations show that the processed image presents sharp edges which makes it more pleasant to the human eye. Moreover, the amount of noise in the image is clearly reduced.
AB - In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing. And apply it to color image processing. The proposed structure is similar to the conventional unsharp masking structure, however, a nonlinear function is added to control the behavior of the operator. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates the noise in flat areas. Moreover the use of the control function eliminates the need for the subjective coefficient A used in the conventional unsharp masking technique. Simulations show that the processed image presents sharp edges which makes it more pleasant to the human eye. Moreover, the amount of noise in the image is clearly reduced.
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M3 - Article
VL - 1998-January
JO - European Signal Processing Conference
JF - European Signal Processing Conference
SN - 2219-5491
ER -