Application of filter on digital images can be made in two ways, which include spatial domain and transform domain known as frequency domain. The spatial domain deals directly with manipulation of data, pixel, present in an image, whereas the transform domain deals with manipulation of image-data in frequency domain. The aim of this paper is to deal with manipulation of data present in an image...

An algorithm is proposed to increase the effective resolution of infrared thermal images by a 2:1 ratio while at the same time removing the noise and preserving edges in the image. This algorithm is based on a minimization strategy known as mean field annealing, which takes into account processes of blur, noise, and image correlations, to make an optimal estimate of the missing pixels. Experime...

To study heart beat pulse wave propagation in real time and to evaluate the vascular blood flow resistance an important physiological parameter for vascular diagnostics. Photoplethysmography is a non-invasive technique that measures relative blood volume changes in the blood vessels close to the skin. PPG analysis emphasizes the importance of early evaluation of the diseases We present the resu...

Many images like medical images, satellite images, Arial images and even life photographs suffer from noise. Image enhancement techniques are used to improve the visual appearance of images by reducing noise from images. In this paper, a dynamic stochastic resonance (DSR) based algorithm is proposed to improve the visual quality by removing noise from digital image. Stochastic resonance (SR) is...

The soft thresholding function has been used in wavelet packet structure to efficiently remove background noises. However, it suffers from both serious residual noise and speech distortion. The classical method that estimates the threshold of wavelet coefficients assumes the corrupted noise to be white Gaussian noise. In fact, the noise is generally not white in practical environments. This pap...

Abstract— Images obtained by satellites are useful in many environmental applications such as tracking of earth resources, geographical mapping etc. These images are often corrupted by noise during their acquisition and transmission. Satellite images contain a special type of periodic noise called striping or banding noise. Numerous methods have been presented in the literature to remove the ba...

Present denoising algorithms of hybrid noise usually filter out Gaussian noise after removing pepper-noise and have many problems such as inaccurate image restoration and insufficient protection of image edge. In order to get rid of these problems, this paper presents an algorithm to remove the hybrid noise based on grid division. The algorithm introduces the definition of the edge grid cell an...

Image is often degraded by more than one type of noise. In order to design an efficient filter to remove mixed noise from image, this paper proposes a weighted-linking pulse coupled neural network (PCNN) model so as to construct a two-channel parallel noise filter using four PCNNs of this model. This filter detects noise using the pulses generated by neurons, and iteratively removes noise by th...

— Image denoising is a key issue in all image processing researches. Generally, the quality of an image could be corrupted by a lot of noise due to the undesired conditions of image acquisition phase or during the transmission. Many approaches to image restoration are aimed at removing either Gaussian or impulse noise. Nevertheless, it is possible to find them operating on the same image, which...