Removing as much noise possible in an image while preserving its fine details is a complex and challenging task. We propose wavelet-based non-local means (NLM) denoising method to overcome the problem. Two well-known wavelets: dual-tree wavelet transform (DT-CWT) discrete (DWT), have been used change into several coefficients sequentially. NLM filtering universal hard thresholding with cycle sp...

Scientists study trajectory data to understand trends in movement patterns, such as human mobility for traffic analysis and urban planning. In this paper, we introduce a novel trajectory clustering technique whose central idea is to use vector fields to induce a notion of similarity between trajectories, letting the vector fields themselves define and represent each cluster. We present an effic...