نتایج جستجو برای: substantial motion
تعداد نتایج: 348353 فیلتر نتایج به سال:
Introduction Breathing motion during multi-shot acquisitions causes artifacts which appear as ghosts in the reconstructed images. Various techniques for motion correction using parallel imaging have been proposed [1-5]. They reconstruct images from subdivisions of motion corrupted k-space data and average them subsequently for artifact reduction [2], replace motion corrupted k-space lines [3] o...
Overall manual accuracy and motion frequency in simulated microsurgery have been studied. Eye surgeons were tested in two tasks: attempting to hold an instrument still, and repeatedly actuating. Rms error and overall motion range were measured. Spectral analysis was also performed. The average rms error was 49 μm and 133 μm, respectively, for the two test conditions, and the average range of mo...
There is a profound connection between gravity and Earth's motion. It the force of that ensures smooth operation our planet in its designated orbit, enables it to receive radiant heat generated by Sun, gives rise four seasons throughout journey. This paper provides concise elucidation concept focuses on interrelation motion, presenting substantial data evidence refute traditional notion tilt so...
H.264/AVC video coding standard performs motion estimation using various motion partition sizes. It has been shown to improve the coding gain. However, video coding using blocks bigger than 16×16 pixels can provide a substantial coding gain compared to H.264/AVC, especially when applied to high definition video sequences. Even if coding efficiency is improved, the complexity of motion estimatio...
We consider the problems of motion-compensated frame interpolation (MCFI) and bidirectional prediction in a video coding environment. These applications generally require good motion estimates at the decoder. In this paper, we use a multiscale optical-ow-based motion estimator that provides smooth, natural motion elds under bit-rate constraints. These motion estimates scale well with change in ...
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