In this paper, the authors propose an efficient technique called Iterative and Adaptive Noise Detection Method (IANDM) for detecting the corrupted pixel in the image and for estimating the original value of the corrupted pixel. With the proposed method the noise pixel detection is improved by giving important to both the local and the global features. The proposed AMPMAD algorithm has a highest...

INTRODUCTION Exposure to continuous or impulse noise may lead to High Sound Pressure Induced Hearing Loss (HSPIHL) or to acoustic trauma in soldiers. Auditory evaluation by means of evoked otoacoustic emissions (EOAE) has been demonstrating its importance in the detection of subtle changes in cochlear function still unidentified in threshold tone audiometry in subjects exposed to noise. OBJEC...

Denoising of color images is a trade-off between sharpness of an image and perceived noise. We formulate a novel optimization problem that can maximize sharpness of an image while limiting the perceived noise under a model of visibility of additive random noise. We derive a closed-form expression for an optimal two-dimensional finite impulse response filter, show its uniqueness and existence, a...

Determining the effectiveness of impulse noise attenuation with hearing protection devices (HPDs) is an important part of their selection. Measuring impulse noise parameters under an HPD would involve exposing subjects to impulses with a high peak sound pressure level. This paper presents a computational method of determining impulse noise parameters under the cups of earmuffs. Calculations are...

Modelling and reconstruction methods are presented for noise reduction of autocorrelated signals in non-Gaussian, impulsive noise environments. A Bayesian probabilistic framework is adopted and Markov chain Monte Carlo methods are developed for detection and correction of impulses. Individual noise sources are modelled as Gaussian with unknown scale (variance), allowing for robustness tòheavy-t...

Elimination of noise is a necessary and challengeable operation in image processing. Before performing any operation, images have to be first restored. Images are corrupted by noise during image acquirement and transmission. Noise and blurring effects always corrupts any recorded image. To reduce the impulse noise level in digital images a novel algorithm FSM(Fuzzy Switching Median) filter is p...

the speech enhancement techniques are often employed to improve the quality and intelligibility of the noisy speech signals. this paper discusses a novel technique for speech enhancement which is based on singular value decomposition. this implementation utilizes a genetic algorithm based optimization method for reducing the effects of environmental noises from the singular vectors as well as t...