Although the recent advances in the sparse representations of images have achieved outstanding denosing results, removing real, structured noise in digital videos remains a challenging problem. We show the utility of reliable motion estimation to establish temporal correspondence across frames in order to achieve high-quality video denoising. In this paper, we propose an adaptive video denosing...

In this paper, a forward and backward (FB) fourth order PDEs is presented to denosing and enhancement image simultaneously. The new FB fourth order PDEs preserves the advantage of YK model and avoids leaving isolated black and white speckles. Moreover, the new model preserves fine details, sharp corners, curved structures and thin lines. Experiment results show the effectiveness of the proposed...

In this paper, we propose a method to reduce the various kinds of noise while gathering and recording the electrocardiogram (ECG) signal. Because of the defects of former method in the noise elimination of ECG signal, we use translation invariant (TI) multiwavelet denoising method to the noise elimination. The advantage of the proposed method is that it may not only remain the geometrical chara...

Ultrasound is a widely used and safe medical diagnostic technique, due to low cost and capability of forming real time imaging. The usefulness of ultrasound imaging is degraded by the presence of signal dependant noise known as speckle. In this paper we make use of daubechies wavelet transformation, Wiener and employing an adaptive thresholding technique in order to improve the performance of t...

In radar systems, target state features are commonly extracted from intermediate frequency signals. However, these signals often have a low signal-to-noise ratio due to noisy environments and limitations of the hardware. This can lead significant loss in performance during feature extraction. Therefore, improving is crucial for effective operation systems. To solve this problem, we developed de...

In this paper, a new model combining four-directional total variation with overlapping group sparsity is proposed, which not only suppresses the staircase effects introduced by traditional variation, but also fully utilizes gradient neighborhood information on each pixel of image. order to decrease computation time image denoising, alternating direction method multipliers (ADMM) adopted divide ...

In order to scale video image real-timely, a GPU-aided parallel interpolation algorithm was proposed. Catmull-Rom Spline algorithm for image zooming was reformed into SIMD (Single instruction, multiple data) mode according to CUDA programming model. Re-sampling of each pixel was completed by a GPU thread. Hence, time-consuming re-sampling procedure of the whole zooming process were handled by p...