Comparative Study of Different Wavelet based Image De-noising Methods
نویسنده
چکیده
The de-noising is a challenging task in the field of signal and image processing. Any natural image corrupted by gussian noise can be de-noised using wavelet method. Wavelet-based image denoising is an important technique in the area of image noise reduction. Wavelets have their natural ability to represent images in a very sparse form which is the foundation of wavelet-based denoising through thresholding. The wavelet de-noising method gives various coefficients arising from discrete wavelet transform then thresholds the coefficients using proper thresholding techniques. This paper explores properties of several thresholding techniques in wavelets denoising, such as VisuShrink, SureShrink, BayesShrink.
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