Work place: E&TC Dept, SGGS IET, Nanded, India
E-mail: dddoye@gmail.com
Website:
Research Interests: Neural Networks, Image Compression, Image Manipulation, Computer Networks, Image and Sound Processing, Image Processing, Data Structures and Algorithms
Biography
Dharmpal D Doye received his BE (Electronics) degree in 1988, ME (Electronics) degree in 1993 and Ph. D. in 2003 from SGGS College of Engineering and Technology, Vishnupuri, Nanded (MS) – INDIA. Presently, he is working as Professor in department of Electronics and Telecommunication Engineering, SGGS Institute of Engineering and Technology, Vishnupuri, Nanded. His research fields are speech processing, fuzzy neural networks and image processing.
By Sachin D Ruikar Dharmpal D Doye
DOI: https://doi.org/10.5815/ijitcs.2012.09.05, Pub. Date: 8 Aug. 2012
In this paper new methods Tri Non Linear Interpolation and nearest neighbor interpolation for image denoising in wavelet domain are proposed. Tri non linear interpolation methods better de-noising method which preserves the image feature like edges and background. Interpolation is way through which images are enlarged. The nearest neighbor interpolation used forward wavelet and enlarges the size of image which retains the image parameter. The nearest neighbor interpolation technique is fruit full for variety of noisy images. PSNR is key parameter for measurement of image quality throughout this text. The existing methods used the threshold technique for noise removal but our methods image quality is better as compared to the existing threshold technique.
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