Thanh Trung Dang

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— Recently, digital image inpainting has attracted strong research interest because of its extensive applications in real life. The terminology " inpainting " refers to automatic restoration of image defects such as scratches or blotches as well as removal of unwanted objects as, for instance, subtitles, logos, etc, such that it is undetectable by viewers(More)
A novel objective measure for assessing the quality of image in-painting is proposed. In contrast to standard image quality met-rics, the proposed one takes into account some constraints and characteristics related to the specific goals of inpainting techniques. The idea is to combine spatial low-level features and perceptual criteria in the design of the(More)
—The increasingly use of digital images in our daily life and the availability of powerful software for processing and editing images, open new challenges regarding illegal or unauthorized image manipulation. Thus, it becomes essential to authenticate digital copies, validate their content, and detect possible forgeries. In this paper, we focus on detection(More)
Image inpainting is not only the art of restoring damaged images but also a powerful technique for image editing e.g. removing un-desired objects, recomposing images, etc. Recently, it becomes an active research topic in image processing because of its challenging aspect and extensive use in various real-world applications. In this paper, we propose a novel(More)
The electrocardiogram inverse problem is a non-linear and ill-posed problem for which it is very difficult to find an exact solution. In this paper, we presented an efficient and robust method to solve this problem. The heart activity is modeled by a single moving dipole and the human body is considered as finite volume conductor constructed based on an(More)
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