There are many unavoidable noise interferences in image acquisition and transmission. To make it better for subsequent processing, the noise in the image should be removed in advance. There are many kinds of image noises, mainly including salt and pepper noise and Gaussian noise. This paper focuses on the research of the Gaussian noise removal. It introduces many wavelet threshold denoising alg...

Impulse noise is the most common noise present in digital images. Removal of impulse noise from the images is a difficult task in image processing. Impulse noise occurs in images during the process of image transmission and image acquisition. Many noise removal techniques have been proposed, each having its own respective advantages and disadvantages. These noise removal techniques must be desi...

This paper proposes image deblurring process used for removal of noise as well as blurred in an image in frequency domain. Wavelet transform is used for the removal of low frequency noise components in degraded image. The proposed noise removal function produces better result than the existing algorithm. It preserves the important information of the image while retrieving.

In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter family is based on the kernel function which regulates the noise suppression properties of the proposed filtering scheme. The comparison of the new filtering method with standard techniques used for impulsive noise removal indicates superior noise removal capabili...

This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs a novel approach with morphological filtering for color image denoising; that is, detection of corrupted pixels and removal of the detected noise by means of morphological filtering. With the help of computer simulation we show that the proposed algorithm can effectively remove impulse no...

Image noise removal is most important pre-processing step of image processing. Filtering method is emphasized for all types of de-noising schemes used for noise removal. In this paper, we have study about the different methods based on non-linear filter to remove the impulse noise from images. Different image noise removal algorithms are studied and some parameters are compared in a wide range ...

With increasing resolution of the sensors in camera detector arrays, acquired images are ever more susceptible to perturbations that appear as grainy artifacts called ‘noise’. In real acquisitions, the dominant noise model has been shown to follow the Poisson distribution, which is signal dependent. Most color image cameras today acquire only one out of the R, G, B values per pixel by means of ...

The report surveys the evolution of image denoising techniques from the perspectives of detection, measurement, and removal. Since noise detection and measurement are intrinsically the same, we focus on the discussion of noise measurement and noise removal techniques. For noise measurement approaches, we survey filter-based, block-based, and wavelet-based, as well as other important achievement...