This paper work presents efficient Trimmed Mean Adaptive Switching Bilateral Filter algorithms for the removal of impulse noise has been proposed with color images by separation redgreenblue plane of color image. The performance of the system is analyze in provisions of Mean square error (MSE), Peak signal to noise ratio (PSNR), Image enhancement factor (IEF) and time required for executing fil...

In this paper, noise reduction scheme for images corrupted by various types of noise is presented. The efficient schemes are used to reduce the various types of noises. Images are often degraded by noise. Noise can occur during image capture, transmission, etc. Noise removing is an important mission in image processing. Generally the quality of the image processing technique has been strongly i...

A adaptive Switching median filter for salt and pepper noise removal based on genetic algorithm is presented. Proposed filter consist of two stages, a noise detector stage and a noise filtering stage. Particle swarm optimization seems to be effective for single objective problem. Noise Dictation stage works on it. In contrast to the standard median filter, the proposed algorithm generates the n...

Multiplicative noise, also known as speckle noise, is signal dependent and difficult to remove. Based on a fourth-order PDE model, this paper proposes a novel approach to remove the multiplicative noise on images. In practice, Fourier transform and logarithm strategy are utilized on the noisy image to convert the convolutional noise into additive noise, so that the noise can be removed by using...

In this paper, two local activity-tuned filtering frameworks are proposed for noise removal and image smoothing, where the local activity measurement is given by the clipped and normalized local variance or standard deviation. The first framework is a modified anisotropic diffusion for noise removal of piece-wise smooth image. The second framework is a local activity-tuned Relative Total Variat...

This paper presents a parallel Salt and Pepper (SP) noise removal algorithm in a grey level digital image based on the Hypergraph Based Root Mean Square (HGRMS) approach. HGRMS is generic algorithm for identifying noisy pixels in any digital image using a two level hierarchical serial approach. However, for SP noise removal, we reduce this algorithm to a parallel model by introducing a cardinal...

ABSTARCT: In this paper, discrete wavelet transform (DWT) for noise removal has been studied over four different types of synthetic data. These are blocks signal, bumps signal, doppler signal and heavy sine signal. These signal sets are first corrupted with white noise and then DWT is used for noise removal. The impact of different levels of decomposition along with the type of thresholding cri...