To improve the spatial resolution of low resolution image with Gaussian blur and Pepper & salt noise, a blind single-image super resolution reconstruction method is proposed. In the low resolution imaging model, the Gaussian blur, down-sampling, as well as Pepper & Salt noise are all considered. Firstly, the Pepper & Salt noise in the low resolution image is reduced through median filtering met...

In this work, an approach to the problem of impulsive noise removal in gray scale images is presented. We describe two models of adaptive mathematical morphology that improve the classical mathematical morphology in the removal of impulsive noise. The proposed method adjust the structuring elements to the local context of the image. The comparison with classical mathematical morphology denoisin...

In this research, we will work on the development of a new method for the removal of salt & pepper noise by creating a new hybridized filter using existing and/or new noise removal filters. The proposed filter will remove the noise with no or minimum image quality degradation. Salt & pepper noise degrades the quality of the image by hiding the details of objects in the image and also causes dam...

Image denoising is the manipulation of the image data to produce a visually high quality image. The existing or current denoising algorithms or approaches are filtering approach, multifractal approach and wavelet based approach. Different noise models include noise as additive and multiplicative type. They include Gaussian noise, salt and pepper noise (impulsive noise), Brownian noise and speck...

plicative gaussian noise such as due to non uniform response of CCD elements in the video camera acquiring the image (right) Fig. 10 Sensitivity to salt and pepper noise, which may be due to noise on the transmission channels Fig. 11 The highlighted regions represent the templates used for identiication Fig. 12 The image of the book presented to the camera. The vertices of the book are automati...

In this paper, a new denoising technique for images corrupted with additive salt and pepper noise and white Gaussian noise is proposed. The technique used here is to combine the anisotropic diffusion (PM) model and total variation (TV) model. The new technique utilizes both advantages of PM model and TV model, while avoiding the disadvantages of both of them. To evaluate our algorithm several e...

Researchers consider additive and multiplicative types of noises. The classes of noises are Gaussian, Salt & Pepper, which are additive type and Speckle which is multiplicative type. The most commonly used filters are mean, median and homomorphic for removing Gaussian, Salt and pepper and speckle noises respectively. If a specific filter is applied upon other type or class of noisy image, it fu...

Image denoising is a critical issue in the field of digital image processing. This paper proposes a novel Salt & Pepper noise suppression by developing a Kriging Interpolation Filter (KIF) for image denoising. Gray-level images degraded with Salt & Pepper noise have been considered. A sequential search for noise detection was made using kk window size to determine nonnoisy pixels only. The non...

This research proposes an Adaptive Weighted Fuzzy Mean Filter (AWFMF) based on Cloud Model (CM) to remove the salt and pepper noise in the digital images. Also, the performance of the proposed filter is compared with existing variants of median and switching filters using peak signal to noise ratio (PSNR) and quality index. The proposed filter is able to remove salt and pepper noise even at 90%...

In general, portals are regarded as gateways to networked information and services, facilitating access to other related sites. Typically, portals provide transparent one-stop access to functionalities needed in a common context and make these appear as a single integrated application. Although these functionalities are implemented and made available by heterogeneous applications, they are inte...