Features extraction based on Fisher's information

"In this paper a novel scheme for extracting the global features from an image. Usually the features are extracted from the whole image. In the proposed approach, only the image regions conveying information are considered. The two steps procedure is based on the Fisher's information evaluation computed by linear combination of Zernike expansion coefficients. Then, by using the region growing algorithm, only high information rate regions are considered. The considered features are texture, edges, and color. The performances of the proposed scheme has been evaluated by using the retrieval rate. Experimental results show an increase in the retrieval rate with respect to use the same features computed on whole image.

Smooth image inpainting by least square oriented edge prediction

""This paper introduces a new spatial edge oriented algorithm for automatic digital inpainting. The approach is based on the Laguerre Gauss analysis of the structure information of the regions surrounding the damaged portions of the image, extrapolating in automatic way the gradient of the luminance and color in missing areas this estimation is made of a least square fitting algorithm from simplified edge lines that stood on the boundary of missing region. The reconstruction of the unknown parts is automatically obtained by a variational method that uses the predicted gradient information imposing smoothing constraints on luminance and color level. Experiments on a number of images show the effectiveness of the proposed algorithm in smooth areas, as well as in areas with edges and\\\/or textured."

Il taccuino del Coach. Edizione 2020

7nonemixedIus M; Zanon O; Tuggia M; Sità C; Serbati S; Di Masi D; Milani PIus, M; Zanon, O; Tuggia, M; Sità, C; Serbati, S; Di Masi, D; Milani,