We study here the application of a metaheuristic, issued from the noising methods and that we call “descent with mutations”, to a problem arising in the field of the aggregation of symmetric relations: the clique partitioning of a weighted graph. This local search metaheuristic, of which the design is very simple, is compared with another very efficient metaheuristic, which is a simulated annea...

every image captured on a screen has possibilities of having noise, which is undesirable. With the introduction of noise in an image causes distortions in quality of the image. Hence it is important to eliminate noise from an image to retain the original information in the image. There are many types of noise which can be found associated with the captured image. This paper discusses about a fe...

In this paper a novel approach for de noising images corrupted by random valued impulses has been proposed. Noise suppression is done in two steps. The detection of noisy pixels is done using all neighbor directional weighted pixels (ANDWP) in the 5 x 5 window. The filtering scheme is based on minimum variance of the four directional pixels. In this approach, relatively recent category of stoch...

In the threshold de-noising method based on wavelet transform, not only the threshold and threshold function, but also the decomposition level is an important factor in practical application. Signals under different noise levels correspond with different optimal decomposition levels. A method to determine the optimal decomposition level based on the white noise verification of wavelet detail co...

In the paper a new orthorectification strategy of aerial images is presented. The strategy is focused on improvement of visual quality of orthoimage. The idea of proposed strategy relies on extraction of edges from the image and next special resampling is taken. The critical issue for edge detection is that the images usually includes some noise. The de-noising of an image has many solutions bu...

The paper presents real time speckle de-noising based on activity computation algorithm and wavelet transform. Speckles arise in an image when laser light is reflected from an illuminated surface. The process involves detection of speckles in an image by obtaining a number of frames of the same object under different illumination or angle and comparing the frames for the granular computation an...

This paper proposes a novel efficient multistage algorithm to extract source speech signals from noisy convolutive mixture. The proposed approach comprises two stages named Blind Source Separation (BSS) and de-noising. A hybrid prior model separates the reverberant mixture in BSS stage. Moreover, we low- high-energy components by generalized multivariate Gaussian super-Gaussian models, respecti...

De-noising plays a crucial role in the post-processing of spectra. Machine learning-based methods show good performance extracting intrinsic information from noisy data, but often require high-quality training set that is typically inaccessible real experimental measurements. Here, using spectra angle-resolved photoemission spectroscopy (ARPES) as an example, we develop de-noising method for sp...