Image Denoising with Wavelet Based Thresholding
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 6
Abstract
Abstract: Image processing is a field that continues to grow, with new applications being developed at an ever increasing pace. Image Denoising is an important part of image processing and computer vision problems. The important property of a good image denoising model is that it should completely remove noise as far as possible. One of the most powerful and perspective approaches in this area is image denoising using discrete wavelet transform (DWT). As number of levels increased, Peak Signal to Noise Ratio (PSNR) of image gets and Mean Square Error (MSE) get increased . The simulation results reveal that wavelet based method outperforms other methods.
Authors and Affiliations
P. C. V. Amulya , Sai Vijaya Lakshmi
Keywords
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