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Morphological openings and closings are useful for the smoothing of gray-scale images. However, their use for image noise reduction is limited by their ...
This paper is a description and analysis of a new morphological image cleaning algorithm (MIC) that preserves thin features while removing noise. MIC is useful ...
The paper describes the MIC algorithm in detail, discusses the effects of parametric variations, presents the results of a noise analysis and shows a number ...
A NEW IMAGE NOISE REDUCTION AND COMPRESSION ALGORITHM FOR GRAYSCALE IMAGES ... This paper is a description and analysis of a new morphological image noise ...
Abstract. This paper deals with the use of morphological filters by reconstruction of the mathematical morphology for Gaussian noise removal in color images ...
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This paper introduces a new class of filter for the removal of impulse noise in images using mathematical morphology. Basic mathematical morphological theory ...
The proposed filter can effectively resolve the problem between detail-preserving and noise-removing, and its performance is obviously superior to others.
In this paper, we present a mathematical morphological filtering (MMF) method to reduce the noise. The MMF method uses two structural elements with different ...
Morphological filters are well known for their potential in image noise reduction. ... The MIC algorithm proves to be effective on dense, low-amplitude, random or ...
The NL-means algorithm is proven to be asymptotically optimal under a generic statistical image model. The denoising performance of all considered methods are ...