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Image Denoising using Tri Nonlinear and Nearest Neighbor Interpolation with Wavelet Transform
Author(s) -
Sachin D. Ruikar,
Dharmpal D. Doye
Publication year - 2012
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2012.09.05
Subject(s) - computer science , k nearest neighbors algorithm , noise reduction , pattern recognition (psychology) , artificial intelligence , image denoising , interpolation (computer graphics) , nonlinear system , wavelet transform , wavelet , image scaling , image (mathematics) , algorithm , image processing , physics , quantum mechanics
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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