In this paper, a novel filter based on the nonlocal mean (NLM) filter is to improve the denoisingeffect. Bilateral filtering for MRimages. Its formulation and implementation are easy but the performance of bilateral filter depends upon its parameter. We have applied bilateral filtering on Brain web MR images which are corrupted by rician noise. It is nonlinear filter to preserve edges. The perf...

An extension of the bilateral filter is described. The proposed filter is a weighted median filter which adaptively estimates the weights in a similar manner to that of the bilateral filter. The proposed filter strikes a compromise between smoothing and preserving important detail.

It has proved that nonlinear diffusion and bilateral filtering (BF) have a closed connection. Early effort and contribution are to find a generalized representation to link them by using adaptive filtering. In this paper a new further relationship between nonlinear diffusion and bilateral filtering is explored which pays more attention to numerical calculus. We give a fresh idea that bilateral ...

Image processing is one of the most important areas of signal processing. Image processing is applicable for the improvement of pictorial improvement for human perception and autonomous machine application also the efficient storage and transmission. In this paper guided filter is proposed which can be applicable to both images as well as to video. This guided filter has many advantages over th...

It has proved that nonlinear diffusion and bilateral filtering (BF) have a closed connection. Early effort and contribution are to find a generalized representation to link them by using adaptive filtering. In this paper a new further relationship between nonlinear diffusion and bilateral filtering is explored which pays more attention to numerical calculus. We give a fresh idea that bilateral ...

To preserve edge information during noise removal, bilateral filtering is designed as a powerful denoising filter using Gaussian function with geometric and photometric information. Unfortunately, peak noise will be regarded as effective high-frequency information and degrade the performance of bilateral filter. We design a new robust denoising filter employing image preprocessing and high-freq...

An important area of research in the teleoperation literature is to develop systematic methods to quantitatively compare different manipulator designs in application critical tasks. Such quantitative methods are especially important during design of the manipulators to make an informed decision among various design alternatives. In this paper, a novel method to quantitatively compare different ...

This paper presents a quantitative comparison framework for bilateral teleoperation systems which have different dynamic characteristics and sensory configurations for a given Task Dependant Performance Objective. μ-synthesis is used to develop the framework since it can efficiently treat systems containing uncertainties and disturbances. The framework consists of i) a feasibility test, and ii)...