Abstract: In this paper, a noise reduction technique is introduced based on the Gabor time-frequency transform. In the proposed approach, noise is removed using low pass filters locally in the transform domain. Finding the cut-off frequency for the low pass filters in such a way that image does not loose its features, is an important issue. The optimal cut-off frequency of the low pass filters are computed in an iterative method for each sub-block of the image. The followed approach, besides showing a good performance in removing noise, it also performs well in preserving image features.
Gabor analysis is one of the most common instances of time-frequency signal analysis. Choosing a sui...
In this paper, a new of noise reduction algorithm using variance characteristics of noise is present...
[[abstract]]In this paper, a quantitative evaluation of some noise reduction methods is presented. I...
International audienceWe address the problem of filtering out localized time-frequency components in...
In this paper, the Inverse Discrete Gabor Transform (IDGT) is proposed for signal recovery buried in...
As an alternative to the wavelet, Gabor function has been used as an efficient representation of two...
WO 200141071 A UPAB: 20011121 NOVELTY - The method involves converting an image in which an image of...
This paper proposes a fast noise estimation algorithm using a Gaussian filter. It is based on block-...
This paper describes a new fast, iterative algorithm for interactive image noise removal. Given the ...
Noise amplitude in original time domain data is usually discrete and sparse. This article presents a...
This paper describes a new fast, iterative algorithm for inter-active image noise removal. Given the...
Abstract: In this paper, first, the performance of the Wiener filter in the frequency domain for ima...
In this paper a novel algorithm for Gaussian noise estimation and removal is proposed by using 3x3 s...
Abstract. We present a new method to detect and remove ringing ar-tifacts produced by the deconvolut...
In this paper, we address the speech denoising problem, where Gaussian and coloured additive noises ...
Gabor analysis is one of the most common instances of time-frequency signal analysis. Choosing a sui...
In this paper, a new of noise reduction algorithm using variance characteristics of noise is present...
[[abstract]]In this paper, a quantitative evaluation of some noise reduction methods is presented. I...
International audienceWe address the problem of filtering out localized time-frequency components in...
In this paper, the Inverse Discrete Gabor Transform (IDGT) is proposed for signal recovery buried in...
As an alternative to the wavelet, Gabor function has been used as an efficient representation of two...
WO 200141071 A UPAB: 20011121 NOVELTY - The method involves converting an image in which an image of...
This paper proposes a fast noise estimation algorithm using a Gaussian filter. It is based on block-...
This paper describes a new fast, iterative algorithm for interactive image noise removal. Given the ...
Noise amplitude in original time domain data is usually discrete and sparse. This article presents a...
This paper describes a new fast, iterative algorithm for inter-active image noise removal. Given the...
Abstract: In this paper, first, the performance of the Wiener filter in the frequency domain for ima...
In this paper a novel algorithm for Gaussian noise estimation and removal is proposed by using 3x3 s...
Abstract. We present a new method to detect and remove ringing ar-tifacts produced by the deconvolut...
In this paper, we address the speech denoising problem, where Gaussian and coloured additive noises ...
Gabor analysis is one of the most common instances of time-frequency signal analysis. Choosing a sui...
In this paper, a new of noise reduction algorithm using variance characteristics of noise is present...
[[abstract]]In this paper, a quantitative evaluation of some noise reduction methods is presented. I...