Image Denoising using Tri Nonlinear and Nearest Neighbor Interpolation with Wavelet Transform
Автор: Sachin D Ruikar, Dharmpal D Doye
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 9 Vol. 4, 2012 года.
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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.
Noise, Tri non linear Interpolation, Nearest Neighbor interpolation, Wavelet
Короткий адрес: https://sciup.org/15011758
IDR: 15011758
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