Catálogo de publicaciones - libros

This paper proposes an iterative methodology for real-time robust mosaic topology inference. It tackles the problem of optimal feature selection () for global estimation of image transformations. This is called IGLOS: iterative global optimal sampling. IGLOS is a unified framework for robust global image registration (optimum feature selection and model computation are considered within the same methodology). The major novelty is that it does not rely on random sampling procedures. Furthermore, by considering an optimal subset of the total number of correspondences, it naturally avoids trivial solution. IGLOS can cope with any motion parameterization and estimation technique. Applications to underwater linear global mosaics and topology estimation are presented.

This paper describes a digital image warping method which reduces the geometric and optical distortions in several display devices such as wide screen CRTs, Projection TVs and Projectors. The 2-pass scan line warping algorithm is introduced and it effectively reduces the typical type of display distortions such as keystone, pincushion, or barrel types. The proposed warping algorithm also considers the image scaling function and renders arbitrary image scaling up or down with display distortion correction. The proposed architecture is successfully implemented in hardware and operates at the clock speed around 40 ~ 160MHz. Finally, it is successfully adopted in display distortion correction purposes.

Motion estimation (ME) is the main bottleneck and by far the most time-consuming module in real-time video coding application. Based on sufficient statistical analysis, a novel complexity-controllable ME algorithm is presented in this paper. The proposed algorithm consists of three effective stages: 1) initial stage with zero-motion detection, 2) predictive stage with early termination scheme, and 3) local refined stage by small diamond search. Furthermore, with given complexity constraints, a complexity-controllable scheme is introduced into the search process, which can achieve the preferable tradeoff between motion accuracy and ME complexity. Experimental results demonstrate that our proposed algorithm achieves similar performance with significantly reduced number of search points in comparison with some well-known ME algorithms, such as diamond search, hexagon-based search and enhanced hexagon-based search, etc. Moreover, due to its complexity-controllable feature, our algorithm can be adapted to various devices with a wide range of computational capability for real-time video encoder.