In this correspondence, we present a new approach to two-dimensional (2-D) robust spline image smoothing based on the M-estimator algorithm. Unlike in other M-estimator based image processing algorithms, the new algorithm takes into consideration spatial relations between picture elements. The contribution of the sample to the model depends not only on the current residual of that sample, but also on the neighboring residuals. A smoothing parameter is estimated separately for each processing window and it adapts to the local structure of the image. The proposed algorithm is applied to image filtering. The resulting filter preserves details and suppresses additive Gaussian and impulsive noise efficiently. © 1998 IEEE
We introduce some recent and very recent smoothing methods which focus on the preservation of bounda...
Using splines to model spatio-temporal data is one of the most common methods of data fitting used i...
Analytical equations of a new spline approximation method for filtering impulse noise in images are ...
In this paper we present a new method to implement a robust estimator: B-spline channel smoothing. W...
In this paper, we present a new and efficient method to implement robust smoothing of low-level sign...
In this paper, we present a new and efficient method to implement robust smoothing of low-level sign...
International audienceWe explain how the B-spline interpolation of signals and, in particular, of im...
The known algorithms of image smoothing corrupt the edges of objects. So the aim of this work is a c...
Abstract: The paper presents robust approach to image restoration problem that combines the properti...
Smoothing noisy data is commonly encountered in engineering domain, and currently robust penalized r...
In this thesis a two dimensional Kalman filter was applied for image restoration. A 3 3 Greco- Lati...
Robust automatic selection techniques for the smoothing parameter of a smoothing spline are introduc...
In this paper we introduce and illustrate the use of an S-PLUS set of functions to fit M-type smooth...
We present an approach for modeling and ltering digitally scanned images. The digital contour of an ...
We introduce some recent and very recent smoothing methods which focus on the preservation of bounda...
We introduce some recent and very recent smoothing methods which focus on the preservation of bounda...
Using splines to model spatio-temporal data is one of the most common methods of data fitting used i...
Analytical equations of a new spline approximation method for filtering impulse noise in images are ...
In this paper we present a new method to implement a robust estimator: B-spline channel smoothing. W...
In this paper, we present a new and efficient method to implement robust smoothing of low-level sign...
In this paper, we present a new and efficient method to implement robust smoothing of low-level sign...
International audienceWe explain how the B-spline interpolation of signals and, in particular, of im...
The known algorithms of image smoothing corrupt the edges of objects. So the aim of this work is a c...
Abstract: The paper presents robust approach to image restoration problem that combines the properti...
Smoothing noisy data is commonly encountered in engineering domain, and currently robust penalized r...
In this thesis a two dimensional Kalman filter was applied for image restoration. A 3 3 Greco- Lati...
Robust automatic selection techniques for the smoothing parameter of a smoothing spline are introduc...
In this paper we introduce and illustrate the use of an S-PLUS set of functions to fit M-type smooth...
We present an approach for modeling and ltering digitally scanned images. The digital contour of an ...
We introduce some recent and very recent smoothing methods which focus on the preservation of bounda...
We introduce some recent and very recent smoothing methods which focus on the preservation of bounda...
Using splines to model spatio-temporal data is one of the most common methods of data fitting used i...
Analytical equations of a new spline approximation method for filtering impulse noise in images are ...