International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 03 | Mar-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET ISO 9001:2008 Certified Journal Page 1613 High Density Impulse Noise Removal A Review Nishtha Vyas 1 , Abhinav Jain 2 , C.P. Singh 3 Department of CS & IT, SR Group of Institutions, Jhansi 123 16 th Km. Milestone Ambabai Gwalior Road Jhansi ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract—Image noise is random variation of brightness or color information in images. It is an undesirable by-product of image capture that adds spurious and extraneous information. Due to noise, quality of image is degrade. According to the effect of noise and pattern of noise the noises are categorized in different types. For improving quality of image filtering techniques are used. Various filtering techniques are reported in last few years. This paper investigates the recent contributions on the image filters for impulse noise detection and the correction methods proposed. Keywords—Image de-noise, Gray-scale, impulse noise, comparative study, performance analysis. 1. INTRODUCTION Image is a set of pixels defined in terms of a 2D vector. This 2D vector contains real world knowledge in form of colour distributions and pixel combination values. In order to refine the contents of this information image processing is performed on the image data. Image processing is a classical domain of image data manipulation and enhancement. Due to diversity of information storage and lightning effect the researchers and developers are attracted in this domain. There are huge contributions are available for enhancing the quality of images. For that purpose various kind of image processing techniques are developed in recent years. In this proposed work image processing based image filtering techniques are evaluated and issues and challenges over image filters are addressed. In addition of that for resolving these issues a new concept in image processing and image data correction is placed in this work. . Figure 1 basic filter In order to develop an enhanced and efficient de-noising technique, fundamental technology behind the images and images filters are required to understand first. Therefore, the next section includes basics of different image noise filters, recent development and investigations over the image filters. These techniques providing guidelines for addressing key issues in image filter design. In addition of that the recent development techniques provides guidelines for developing the effective image de-noising technique. 2. IMAGE NOISE Noise can be understood as a barrier to the sense organs of the received source information to understand the factors. For example, a black and white picture, the surface brightness distribution is assumed to be f (x, y). Then the interference it receives from the brightness distribution of R (x, y) can be called image noise. However, the noise in theory can be defined as unpredictable. It can be used statistical methods to understand the probability of random error. Therefore, the image noise as a multidimensional random process is appropriate. So, it can be described noise is completely random process can borrow the description which uses the probability distribution function and probability density function. However, in many cases, this description is very complicated. The practical application is often unnecessary. That is mean-variance, correlation function and so on. Because the digital features can be reflected in some aspects of noise characteristics. [10] In most of digital imaging systems, the input images are used to first freeze and then scanning the image into a one- dimensional multi-dimensional signal. Next its processing, storage, transmission and other processing transformation. Finally, it is necessary to make up the multi-dimensional image signal and image noise will be equally subject to such a decomposition and synthesis. In these processes affect the electrical system and the outside world will allow the precise analysis of image noise becomes very complicated. The other image can transmit visual information media. The image information of the knowledge to understand the human visual system is determined. Different image noise,