This work presents a technique for the analysis of Facial Electromyogram signal activities to classify five different facial expressions for Computer-Muscle Interfacing applications. Facial Electromyogram (FEMG) is a technique for recording the asynchronous activation of neuronal inside the face muscles with non-invasive electrodes. FEMG pattern recognition is a difficult task for the researche...

Conventionally, image denoising and high-level vision tasks are handled separately in computer vision, and their connection is fragile. In this paper, we cope with the two jointly and explore the mutual influence between them with the focus on two questions, namely (1) how image denoising can help solving high-level vision problems, and (2) how the semantic information from high-level vision ta...

In this paper we provide a method to compute explicitly the solution of the total variation denoising problem with a L fidelity term, where p > 1, for piecewise constant data in dimension one.

There has been a lot of research work dedicated towards image denoising compared to those of video denoising due its complexity. However, with the wide spread of video usage in many fields of our lives, it becomes very important to develop new techniques for video denoising. The previous research in spatial video denoising was based on two of the famous techniques in the image denoising named 2...

The goal of this paper is to explore the power of external data in the image denoising task, that is, to show that with taking advantage of an immense amount of information provided by external datasets, external denoising method should be more promising than internal denoising method which only extracts information from the input noisy image itself. In this paper, we present a simple external ...

We introduce variants of the variational image denoising method proposed by Blomgren et al. (In: Numerical Analysis 1999 (Dundee), pp. 43–67. Chapman & Hall, Boca Raton, FL, 2000), which interpolates between totalvariation denoising and isotropic diffusion denoising. We study how parameter choices affect results and allow tuning between TV denoising and isotropic diffusion for respecting textur...

A speech denoising technique based on subband noise estimation and a perceptual modification of Wiener filtering is proposed. The noisy speech is first decomposed into critical band signals by an auditory filterbank and the denoising is carried out on the subband signals. The time varying subband noise variance required for denoising is estimated by tracking the minimum variance of the subband ...

image denoising by block matching and threedimensionaltransform filtering (bm3d) is a two steps state-ofthe-art algorithm that uses the redundancy of similar blocks innoisy image for removing noise. similar blocks which can havesome overlap are found by a block matching method and groupedto make 3-d blocks for 3-d transform filtering. in this paper wepropose a new block grouping algorithm in th...

We apply a general procedure of the author to choose penalty parameters in total variation denoising.

The requirement for image denoising is encountered in many practical applications. Such as, distortion due to additive white Gaussian noise (AWGN) can be caused by poor quality image acquisition, images analyzed in a noisy environment or internal noise in communication channels. In this review paper image denoising is studied along with the common source of noise and quality measures. After rev...