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In this paper, we present a novel multiscale texture model and a related algorithm for the unsupervised segmentation of color images. Elementary textures are characterized by their spatial interactions with neighboring regions along selected directions. Such interactions are modeled, in turn, by means of a set of Markov chains, one for each direction, whose(More)
The Parallel Proximal Algorithm (PPXA+) has been recently introduced as an efficient tool for solving convex optimization problems. It has proved particularly effective in the context of stereo vision, used as the methodological core of a novel disparity estimation technique. In this work, the main methodological issues limiting the efficient(More)
A new region-based algorithm is proposed for the compression of multispectral images. The image is segmented in homogeneous regions, each of which is subject to spectral KLT, spatial shape-adaptive DWT, and SPIHT encoding. We propose to use a dedicated KLT for each region or for each class rather than a single global KLT. Experiments show that the(More)
The analysis and extraction of textural information from image data is a relevant topic in the image analysis and processing domains, mainly due to the large number of application areas that it concerns. The Hierarchical Multiple Markov Chain (H-MMC) family of models has been recently introduced [2] to provide a simple and effective tool to represent the(More)
1. EXTENDED ABSTRACT In the remote-sensing field, significant advances in sensor design have been occurring for the last years, thanks to a systematic and fast evolution of the related technologies. As a consequence, a larger and larger amount of different typologies of remotely sensed data is currently available. In this context, an effective synergistic(More)
1. EXTENDED ABSTRACT High resolution remote sensing images exhibit a considerable amount of textural information at various scales, from " micro " textures (roofs, road surfaces, basic land covers, etc.) to more complex " macro " structures (e.g. urban areas), which must be taken into account to address effectively the problem of image segmentation. While a(More)