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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 3, March 2015
An Efficient Method for Image Denoising Using Orthogonal Wavelet Transform
Akshata S Kori | Manjunatha A S.
Abstract: Digital images are noisy due to environmental disturbances. To ensure image quality, image processing of noise reduction is a very important step before analysis or using images. Image denoising is one such powerful methodology which is deployed to remove the noise through the manipulation of the image data to produce very high quality images. In this paper, we analyzed several methods of noise removal from degraded images with Gaussian noise and salt & pepper by using adaptive wavelet threshold and compare the results in term of PSNR and MSE. After simulation can find that stein unbiased risk estimator is one of the best techniques for removing the noise from the image in terms of PSNR
Keywords: Wavelet, Image denoising, OWT, stein Unbiased Risk Estimator, PSNR
Edition: Volume 4 Issue 3, March 2015,
Pages: 2040 - 2043
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Research Paper, Computer Science & Engineering, India, Volume 10 Issue 12, December 2021
Pages: 1257 - 1264Digital Image Watermarking Technique Using Discrete Wavelet Transform and Discrete Cosine Transform
Bhupendra Ram
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M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 826 - 829Neural Systems Approach for Ammography Finding by Utilizing Wavelet Features
A. Mallareddy [2] | A. Priyanka