Study and Analysis of Multiwavelet Transform with Threshold in Image Denoising: A Survey
Journal Title: International Journal of Science and Research (IJSR) - Year 2013, Vol 2, Issue 8
Abstract
Removing noise from the Medical image is still a challenging problem for researchers. Noise added is not easy to remove from the images. There have been several published algorithms and each approach has its assumptions, advantages, and limitations. This paper summarizes the major techniques to denoise the medical images and finds the one is better for image denoising. We can conclude that the Multiwavelet technique with Soft threshold is the best technique for image denoising.
Divergent Methodology of Decision Harmonization in Project Management of Development
This work is dedicated to the problems of the project/program subject area planning. The document, which is determining the project/program subject area as the base for the future decision-making about universities devel...
Mining Frequent Item Set Using Cluster Approach from Large Uncertain Database
The data handling in emerging application and technology like sensor systems, location based system and data integration, are often inaccurate and inexact in nature. In this paper we study the extracting of most frequent...
Review on Various Architectural Models in Mobile Crowdsensing
"Sensors are the basic components of various wireless sensor networks. They are used in many devices like smart phones, music players and in vehicle sensing devices as application. This may lead to the evolution of Inter...
Evaluation of Carbon Stocks of Some Freshwater Fishes of Manipur
Evaluation of Carbon Stocks of Some Freshwater Fishes of Manipur
Antibiotic Susceptibility Pattern of Streptococcus Pneumoniae in South India by Using E-Test Techniques
"Abstract Objective To analyse, estimate the consequence and antibiotic susceptibility pattern of Streptococcus Pneumoniae isolates various clinical specimens from different places. Materials and Methods 105 clinical str...