Design of Efficient Adaptive Image Filters to suppress Salt and Pepper Noise
نویسندگان
چکیده
Image processing technology is amongst the most rapidly growing technologies today, having its applications in various aspects of business. The massive production of digital images in the communication world has led to the need for efficient image restoration methods. Unlike conventional linear digital filters, adaptive digital filters are used to overcome the problem of removing noise in certain practical applications where the statistical characteristics of input and noise are normally unknown or can’t be found out by fixed coefficient digital filters. The aim of this paper is to explain the concept of noise which leads to the need for developing filters and to design efficient adaptive local noise filter and adaptive LMS filter in their operation of demising low density salt and pepper noise.
منابع مشابه
Improved Adaptive Median Filter Algorithm for Removing Impulse Noise from Grayscale Images
Digital image is often degraded by many kinds of noise during the process of acquisition and transmission. To make subsequent processing more convenient, it is necessary to decrease the effect of noise. There are many kinds of noises in image, which mainly include salt and pepper noise and Gaussian noise. This paper focuses on median filters to remove the salt and pepper noise. After summarizin...
متن کاملSalt and Pepper Noise Removal using Pixon-based Segmentation and Adaptive Median Filter
Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. In the second phase, only noise candidate pixels are restored using adaptive median filter. In...
متن کاملFast Cellular Automata Implementation on Graphic Processor Unit (GPU) for Salt and Pepper Noise Removal
Noise removal operation is commonly applied as pre-processing step before subsequent image processing tasks due to the occurrence of noise during acquisition or transmission process. A common problem in imaging systems by using CMOS or CCD sensors is appearance of the salt and pepper noise. This paper presents Cellular Automata (CA) framework for noise removal of distorted image by the salt an...
متن کاملHigh Density Salt and Pepper Noise Removal in Images using Improved Adaptive Statistics Estimation Filter
In this paper a Non-linear Adaptive Statistics Estimation Filter to remove high density Salt and Pepper noise is presented. The algorithm detects the pixel corrupted by salt and pepper noise and replaces them with a value estimated using proposed algorithm. The algorithm detects the corrupted pixel at the initial stage itself. The performance of proposed algorithm is compared with various filte...
متن کاملNoisy images edge detection: Ant colony optimization algorithm
The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant colony optimization (ACO) that detect edges. We here used ACO for edge detection of noisy ima...
متن کامل