In the image processing scenario the image enhancement takes high importance .Among so many image enhancement techniques the image enhancement is one of the main way. Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processi...

Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected in to the image during transmission. Underwater images when captured usually have Gaussian noise, speckle noise and salt and pepper noise. In this work, five different image filtering algorithms are compared for the three different noise types...

A novel method for estimating the variance and standard deviation of the additive white Gaussian noise contained in an image will be presented. Only a single image is used to estimate the noise properties. Local image outliers are discarded, this allows us to separate the additive zero mean white Gaussian noise contained in a noisy image from the original image structure. Local variance estimat...

radionuclide image data in an at tempt to improve its diagnostic usefulness in evitably changes both the noise and the resolu tion of structures in the image. Although at present little conclusive evidence exists to mdi cafe whether or not image processing is bene ficial, an understanding of the quantitative effects of various processing techniques on pa rameters of resolution, noise magnitude,...

Introduction: SPECT is a diagnostic imaging technique the main disadvantage of which is the existence of Poisson noise. So far, different methods have been used by scientists to improve SPECT images. The Wavelet Transform is a new method for de-noising which is widely used for noise reduction and quality enhancement of images. The purpose of this paper is evaluation of noise reduction in SPECT ...

Various approached have been introduced to extract as much as information form seismic image for any specific reservoir or geological study. Modeling of faults and fractures are among the most attracted objects for interpretation in geological study on seismic images that several strategies have been presented for this specific purpose. In this study, we have presented a modified approach of ap...

In digital images there are multiple sources of noise. Typically, the noise increases on increasing ths ISO but some noise is still observable at lower ISOs as well, especially in underexposed regions of the image. Also, it is often the case that there are patterns in noise specific to the camera being used. While it’s true that on increasing the ISO, random noise dominates; fixed pattern noise...

As reducing impulse noise in a digital image is a very active research area in image processing, this paper proposes a novel algorithm for digital image impulsive noise detection and reduction based on adaptive nonlinear techniques which seems to be a boom in digital image restoration process. The main objective of this algorithm is to consider a particular digital image as input and make the p...