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A high accuracy image dewarping method is proposed to restore images from non-uniformly warped video sequences degraded by atmospheric turbulence. This approach contains three major steps. First, a non-rigid image registration technique is employed to register all the frames in the sequence to a reference frame and estimate the motion fields. Second, an(More)
In this paper, a fast image restoration method is proposed to restore the true image from an atmospheric turbulence degraded video. A non-rigid image registration algorithm is employed to register all the frames of the video to a reference frame and determine the shift maps. The First Register Then Average And Subtract-variant (FRTAASv) method is applied to(More)
Long-distance surveillance is a challenging task because of atmospheric turbulence that causes time-varying image shifts and blurs in images. These distortions become more significant as the imaging distance increases. This paper presents a new method for compensating image shifting in a video sequence while keeping real moving objects in the video(More)
This paper presents the application of artificial neural network for predicting the warping of images of remote objects or scenes ahead of time. The algorithm is based on estimating the pattern of warping of previously captured short-exposure frames through a generalized regression neural network (GRNN) and then predicting the warping of the upcoming frame.(More)
This paper presents a novel approach in image restoration based on calculating the pixel shift-maps of geometrically distorted images in a video sequence and using these maps to obtain non-distorted frames by de-warping the originals. In the similar previous approaches, the reference frame in the image registration process for pixel shift-maps calculation(More)
A high precision and fast image restoration method is proposed to restore a geometrically corrected image from the atmospheric turbulence degraded video sequence of a static scenery. In this approach, we employ an optical flow technique to register all the frames of the distorted video to a reference frame and determine the flow fields. We use the First(More)
Restoration of a sequence of images influenced by atmospheric turbulence is a challenging task. A new approach for geometrical corrections and noise cancelations of the turbulence degraded frames of a video is presented. The time-averaged frame of the video is used to overcome the geometric deformations through an iterative robust image registration(More)
This paper presents a comparative study between field oriented control (FOC) and direct torque control (DTC), two most popular control strategies for inverter fed interior permanent magnet synchronous motor (IPMSM) drives. The comparison is done in four switch three phase (FSTP) inverter scheme instead of six switch three phase (SSTP) inverter scheme. The(More)