Abstract: The massive amount of data required for images is a primary reason for the development of many sub areas within the field of computer imaging such as image segmentation and compression. Whatever may be the way of transmission, the data tends to get noisy and thereby the further processing does not lead to good results. Hence, it is very essential to keep the data close to originality. In order to achieve this in terms of the concerned work, wavelet transforms have been applied: Discrete wavelet transform and EEMD. In this thesis, a new technique which is combination of Enhanced Empirical Mode Decomposition (EEMD), has been presented along with the standard wavelet thresholding techniques like hard thresholding to denoise the image.
Keywords: EEMD, Hard Thresholding.
Title: Image Denoising Using Dwt-EEMD Algorithm
Author: Neha, Shikha Khera
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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