An Efficient Algorithm for Image Enhancement
Journal Title: Indian Journal of Computer Science and Engineering - Year 2011, Vol 2, Issue 1
Abstract
In the digital image processing field enhancement and removing the noise in the image is a critical issue. We have proposed a new algorithm to enhance color Image corrupted by Gaussian noise using fuzzy logic which describes uncertain features of images with modification of median filter. . The performance of the proposed technique has been evaluated and compared to the existing mean and median filter.
Authors and Affiliations
Manglesh Khandelwal , Shweta Saxena , Priya Bharti
Keywords
Related Articles
- EP ID EP91993
- DOI -
- Views 196
- Downloads 0
Disorder Speech Clustering For Clinical Data Using Fuzzy C-Means Clustering And Comparison With SVM Classification
Speech is the most vital skill of communication. Stammering is speech which is hesitant, stumbling, tense or jerky to the extent that it causes anxiety to the speaker. In the existing system, there are many effective tre...
CLASSIFICATION OF KNEE MRI IMAGES
Classification is very important part of digital image analysis. It is a computational procedure that sort images into groups according to their similarities. MRI is latest medical imaging technology. Magnetic Resonance...
Generating Test Cases for Object Oriented Programs Using Specification based Testing Techniques
In today’s world software development industry and researchers has rapidly accepted the object-orientation paradigm for large scale system design. The object oriented language features of encapsulation, information hidin...
A FUZZY APPROACH TO DETECT AND CONTROL CONGESTION IN WIRELESS SENSOR NETWORKS
In Wireless Sensor Networks (WSN’s), congestion plays an important role in degrading the performance of the network. Under idle condition, the network load is very low whereas when an event is detected the network load b...
A COMPARISON OF CONSTRUCTIVE AND PRUNING ALGORITHMS TO DESIGN NEURAL NETWORKS
This paper presents a comparison between constructive and pruning algorithms to design Neural Network (NN). Both algorithms have advantages as well as drawbacks while designing the architecture of NN. Constructive algori...