Showing papers by "Giovanni Ramponi published in 1994"
26 Jun 1994
TL;DR: It is shown how FIRE operators can be designed in order to comply with the following two requirements: 1) extraction of edges from a noiseless image by means of the simplest possible rule-base; 2) extraction from a noisy image.
Abstract: FIRE (fuzzy inference ruled by else-action) operators are a recently proposed family of fuzzy operators for image processing. After an introduction of the generalized structure of the FIRE edge extractor, in this paper it is shown how FIRE operators can be designed in order to comply with the following two requirements: 1) extraction of edges from a noiseless image by means of the simplest possible rule-base; 2) extraction of edges from a noisy image. Some experimental results show the performances of the proposed approach. >
90 citations
TL;DR: The formal rules which describe the behavior of a ‘globally fuzzy’ technique for image processing are described and the analysis is particularized to the case of a very simple operator of this family, putting to evidence the different sources of nonlinearity which are involved.
65 citations
26 Jun 1994
TL;DR: In this article, a combination of FIRE filters, acting on different supports, can yield a noticeable advantage from the point of view of noise-suppression capability and detail preservation as well.
Abstract: FIRE (Fuzzy Inference Ruled by Else-action) operators are a recently proposed family of rule-based fuzzy operators which address image processing applications. Focussing on the enhancement of a noisy image, it is shown in this paper how a combination of FIRE filters, acting on different supports, can yield a noticeable advantage from the point of view of noise-suppression capability and detail preservation as well. The results of the combined approach are favourably compared to those obtainable with the previous design, and are also very favourably compared with those yielded by classical (non-fuzzy) operators available in the scientific literature. >
35 citations
13 Nov 1994
TL;DR: Some experimental trials show that the proposed method can over-perform more classical techniques in the enhancement of blurred and noisy images; this is visually apparent but is also confirmed by a simple but effective figure of merit.
Abstract: A novel method for image enhancement based on polynomial filters is presented. Its structure is similar to the one of the unsharp masking technique, but in the sharpening path a set of parallel branches are used; each is formed by the cascade of a linear operator and a nonlinear one, which act orthogonally with respect to each other. In this way, it is possible to sense the presence of correlated image details (which are enhanced) or noise (which is attenuated). Some experimental trials show that the proposed method can over-perform more classical techniques in the enhancement of blurred and noisy images; this is visually apparent but is also confirmed by a simple but effective figure of merit. >
34 citations
Proceedings Article•
01 Jan 1994
TL;DR: It is shown in this paper how a combination of FIRE filters, acting on different supports, can yield a noticeable advantage from the point of view of noise-suppression capability and detail preservation as well.
Abstract: FIRE (Fuzzy Inference Ruled by Else-action) operators are a recently proposed family of rule-based fuzzy operators which address image processing applications. Focussing on the enhancement of a noisy image, it is shown in this paper how a combination of FIRE filters, acting on different supports, can yield a noticeable advantage from the point of view of noise-suppression capability and detail preservation as well. The results of the combined approach are favourably compared to those obtainable with the previous design, and are also very favourably compared with those yielded by classical (non-fuzzy) operators available in the scientific literature. >
10 citations
06 Oct 1994
TL;DR: In this paper, a nonlinear architecture composed of linear Laplacian filters followed by quadratic filters which detect correlated elements is used to improve the accuracy of the measurement of objects in harsh conditions.
Abstract: A nonlinear filtering technique for the preprocessing of very low contrast images has been applied to optical profilometry, as an attempt to improve the accuracy of the measurement of objects in harsh conditions. The technique is based on the application of a nonlinear architecture composed of linear Laplacian filters followed by quadratic filters which detect correlated elements. The above sequence of operators results in efficient highpass filtering, keeping at the same time the signal-to-noise ratio within acceptable limits. When applied to highly transparent or weakly diffusive surfaces, the preelaboration technique has largely improved the accuracy of the profilometer. In this paper the preelaboration technique is presented. In particular, the influence of the nonlinear image elaboration on the overall system performance is discussed.
4 citations
01 Jan 1994
TL;DR: An algorithm is proposed which is able to perform a conversion by a factor of 1.5 and its main property is the good balance which has been achieved between visual quality and computational complexity.
Abstract: The problem of frame rate up-conversion of progressive image sequences is considered in this paper. An algorithm is proposed which is able to perform a conversion by a factor of 1.5 (say, from 50 to 75 Hz). Its main property is the good balance which has been achieved between visual quality and computational complexity. Some considerations about the hardware implementation of the algorithm in terms of computational complexity, speed and memory requirements are also presented.
1 citations