Binarization is a well-known image processing task, whose objective to separate the foreground of an from background. One many tasks for which it useful that preprocessing document images in order identify relevant information, such as text or symbols. The wide variety types, alphabets, and formats makes binarization challenging. There are multiple proposals with solve this problem, classical m...

Smartphones have enabled effortless capturing and sharing of documents in digital form. The documents, however, often undergo various types degradation due to aging, stains, or shortcoming environment such as shadow, non-uniform lighting, etc., which reduces the comprehensibility document images. In this work, we consider problem image cleanup on embedded applications smartphone apps, usually m...

There has been an increasing interest in the 3D imaging in the fields of entertainment, simulation, medicine, 3D visual communication, 3D tele-robotics, and 3D TV to augment the reality of presence or to provide vivid and accurate structure information. In order to provide vivid information in these and other 3D applications, efficient techniques to generate, store, and view the stereoscopic vi...

In this paper, we propose a novel self image rectification algorithm for uncalibrated stereo video sequences. Different from conventional stereo systems, this algorithm performs adaptive calibration that allows unequal motions and zooming effects in both cameras. For the first stereo frame, we estimate a reduced set of camera parameters through a nonlinear optimization process to minimize the g...