Adaptive Image Denoising based on Edge Detection
In this thesis we denoised an image by edge detection with finding color difference of neighboring pixels then process each pixels with a optimal threshold value. The dual checking for noisy pixel improves the detection of noises in an image. Thus applying the effect we improved the mean & KNN filter.It can significantly process color noises including salt & pepper noise, impulse noise & so on.
About Me
I'm Mohammad Mahfuz Hossain and passed B.Sc. in CSE from UAP.I have good programming skills in JAVA,C/C++ & VB.NET with strong OOP concept.I have worked on HTML, CSS, JavaScript, ASP.NET & AJAX with mySQL & SQL Server databases.I also have the ability to adapt myself with new technologies & passionate to learn and take new projects as challenge.I think that I have a good problem solving skill & I have experienced working in NetBeans & Eclipse IDE in Swing/AWT Java Framework & also in .NET framework.
$ 5 USD/hr
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