This paper presents a simple and effective missing texture reconstruction method based on a perceptually optimized algorithm. The proposed method utilizes the structural similarity (SSIM) index as a new visual quality measure for reconstructing missing areas. Furthermore, in order to adaptively reconstruct target images containing several kinds of textures, the following two novel approaches ar...

Amethod is proposed for filling in missing areas of degraded images through explicit structure reconstruction, followed by texture synthesis. The structure being reconstructed represents meaningful edges from the image, which are traced inside the artefact. The structure reconstruction step relies on different properties of the edges touching the artefact and of the areas between them, in order...

T exture analysis is the extraction of textural features from images (Tuceryan and Jain, 1998). The meaning of texture varies, depending on the area of science in which it is used. In general, texture refers to the physical character of an object or the appearance of an image. In image analysis, texture is defined as a function of the spatial variation in intensities of pixels (Tuceryan and Jai...

This paper presents a framework for “Filling In” missing gaps in images and particularly patches with texture. The algorithm can also be used as a fallback mode in treating missing data for video sequence reconstruction.The underlying idea is to construct a parametric model of the p.d.f. of the texture to be re-synthesised and then draw samples from that p.d.f. to create the resulting reconstru...

A lot of research has been conducted on 3D surface reconstruction using multiple images of fixed view point and varying lighting conditions. In this paper, a new image-based modeling technique based on Polynomial Texture Mapping (PTM) is presented. This technique allows automated reconstruction of highly detailed 3D texture-mapped models. The new technique addresses some of the shortcomings of ...

A major obstacle to the wider use of 3D object reconstruction and modeling is the extent of manual intervention needed to construct 3D models. Such interventions are currently massive and exist throughout every phase of a 3D reconstruction project: collection of images, image management, establishment of sensor position and image orientation, extracting the geometric detail describing an object...

We present a 3D modeling system for traffic surveillance applications. The application contains several cameras positioned around a traffic scene. The video signals are compressed and streamed to a central client. At the central client a scene reconstruction is carried out, using all 2D camera views utilizing 3D camera calibration information. To combine all views into a 3D model, moving object...

A novel multiscale texture model and a related algorithm for the unsupervised segmentation of medical images to locate tumors are proposed in this project. 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 parameters are ...