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Most previous motion deblurring methods restore the degraded image assuming a shift-invariant linear blur filter. These methods are not applicable if the blur is caused by spatially variant motions. In this paper, we model the physical properties of a 2-D rigid body movement and propose a practical framework to deblur rotational motions from a single image.(More)
In this paper, we present a brief overview of Tuxedo middleware system (BEA Systems) and introduce an object-oriented computer simulation template developed for the purpose of capacity planning and performance analysis of Tuxedo application environments. Arena/Siman (Rockwell Software) simulation software is chosen and a <i>CP_Tool</i> template specific to(More)
This paper presents a new method to detect and accurately extract the moving object from a video sequence taken by a hand-held camera. In order to extract the high quality moving foreground, previous approaches usually assume that the background is static or through only planar-perspective transformation. In our method, based on the robust motion(More)