Impulse denoising using Hybrid Algorithm
Journal Title: International Journal on Computer Science and Engineering - Year 2015, Vol 7, Issue 3
Abstract
Many real time images facing a problem of salt and pepper noise contaminated,due to poor illumination and environmental factors. Many filters and algorithms are used to remove salt and pepper noise from the image, but it also removes image information. This paper proposes a new effective algorithm for diagnosing and removing salt and pepper noise is presented. The existing standard algorithms like Median Filter (MF), Weighted Median Filter (WMF), Standard Median Filter (SMF) and so on, will yield poor performance particularly at high noise density. The suggested algorithm is compared with the above said standard algorithms using the metrics Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) value.The proposed algorithm exhibits more competitive performance results at all noise densities. The joint sorting and diagonal averaging algorithm has lower computational time,better quantitative results and improved qualitative result by a better visual appearance at all noise densities.
Authors and Affiliations
Ms. Arumugham Rajamani , Dr. Vellingiri Krishnaveni
A Novel Document Clustering Algorithm Using Squared Distance Optimization Through Genetic Algorithms
K-Means Algorithm is most widely used algorithms in document clustering. However, it still suffer some shortcomings like random initialization, solution converges to local minima, and empty cluster formation. Genetic alg...
Test Model for Text Categorization and Text Summarization
Text Categorization is the task of automatically sorting a set of documents into categories from a predefined set and Text Summarization is a brief and accurate representation of input text such that the output covers th...
A Survey on the Applications of Bee Colony Optimization Techniques
In this paper an overview of the areas where the Bee Colony Optimization (BCO) and its variants are applied have been given. Bee System was identified by Sato and Hagiwara in 1997 and the Bee Colony Optimization (BCO) wa...
Palmprint Recognition in Eigen-space
This paper proposes a novel technique for palmprint recognition in context to biometric identification of a person. Palmprints are images of the inner portion of a person’s palm and consist of a complex pattern of random...
Context Aware E-Learning System with Dynamically Composable Learning Objects
Context aware E-Learning systems provide learning content according to a learner’s context. In the existing context aware E-Learning systems there is no standardized set of context parameters considered and content is ad...