11,056 research outputs found
Expression and characterization of the prtV gene encoding a collagenase from Vibrio parahaemolyticus in Escherichia coli
No full textSingle image defocus map estimation using local contrast prior
No full textImage defocus estimation is useful for several applications including deblurring, blur magnification, measuring image quality, and depth of field segmentation. In this paper, we present a simple yet effective approach for estimating a defocus blur map based on the relationship of the contrast to the image gradient in a local image region. We call this relationship the local contrast prior. The advantage of our approach is that it does not require filter banks or frequency decomposition of the input image; instead we only need to compare local gradient profiles with the local contrast. We discuss the idea behind the local contrast prior and demonstrate its effectiveness on a variety of experiments
The seismotectonic activity of the Yuli segment, Taitung Longitudinal Valley, Taiwan. Int. Conf. and 3rd Sino-French Symp.
No full textDelays for distributed decisionmaking organizations
No full textThesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1985.MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERINGBibliography: leaves 105-106.by Victoria Yu-Yu Jin.M.S
On using Directional Information for Parameter Space Decomposition in Ellipse Detection
No full textIn this paper we use the parametric polar representation to extend the application of edge directional information from circle to ellipse extraction. As a result we obtain a mapping which decomposes the parameter space required for ellipse extraction into two independent sub-spaces and one final histogram accumulator. The mapping includes the tangent of the angle of the first and second directional derivatives. These tangents are computed by considering edge direction at two border points. We show that the use of gradient information for parameter space decomposition avoids the intensive point labelling imposed by geometric constraints used by other approaches
THE AGE OF PHILOSOPHY IS COMING
No full textYury Simonov-Viazemsky (Yu. S.-V.), the writer, the author and producer of Russian Teleolympiade «Umnicky i Umnitzy» (Wise and Clever), Honoured Cultural Worker of Russia, the head of the Department of World Literature and Culture of MGIMO, the editor-in-chief of the Journal "Concept: Philosophy, Religion, Culture" is interviewed by MGIMO Professor, Doctor of Philosophy Margarita Silantieva (M.S.) and Ph.D. student Daria Liubinsky (D.L.)
The influence of melting on the seeds in glass
No full textThesis (M.S.)--Massachusetts Institute of Technology, Dept. of Metallurgy, 1944.Includes bibliographical references (leaves 39-40).by Yu Kun Pei.Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Metallurgy, 1944
Image/Video Deblurring using a Hybrid Camera
No full textWe propose a novel approach to reduce spatially varying motion blur using a hybrid camera system that simultaneously captures high-resolution video at a low-frame rate together with low-resolution video at a high-frame rate. Our work is inspired by Ben-Ezra and Nayar who introduced the hybrid camera idea for correcting global motion blur for a single still image. We broaden the scope of the problem to address spatially varying blur as well as video imagery. We also reformulate the correction process to use more information available in the hybrid camera system, as well as iteratively refine spatially varying motion extracted from the low-resolution high-speed camera. We demonstrate that our approach achieves superior results over existing work and can be extended to deblurring of moving objects
Super resolution using edge prior and single image detail synthesis
No full textEdge-directed image super resolution (SR) focuses on ways to remove edge artifacts in upsampled images. Under large magnification, however, textured regions become blurred and appear homogenous, resulting in a super-resolution image that looks unnatural. Alternatively, learning-based SR approaches use a large database of exemplar images for “hallucinating” detail. The quality of the upsampled image, especially about edges, is dependent on the suitability of the training images. This paper aims to combine the benefits of edge-directed SR with those of learning-based SR. In particular, we propose an approach to extend edge-directed super-resolution to include detail from an image/texture example provided by the user (e.g., from the Internet). A significant benefit of our approach is that only a single exemplar image is required to supply the missing detail - strong edges are obtained in the SR image even if they are not present in the example image due to the combination of the edge-directed approach. In addition, we can achieve quality results at very large magnification, which is often problematic for both edge-directed and learning-based approaches
Air resistance of cylinder combinations
Full text linkThesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautical Engineering, 1916.by Tsao Yu, Tsoo Wong.M.S
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