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A Novel Approach to Image Denoising by Combining Neighshrink and Sureshrink in Wavelet Domain
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Removing noise from the original image is still a challenging problem for researchers. A traditional way to remove noise from image data is to employ spatial filters. With wavelet transform gaining popularity in the last two decades, various algorithms for denoising in wavelet domain were introduced. In this paper, it is proposed to combine Neighshrink and Sureshrink to denoise an image corrupted by additive white Gaussian noise in wavelet domain.
Keywords
Image Denoising, Dual Tree Discrete Wavelet Packet Transform, Root Mean Square Error, Peak Signal to Noise Ratio, Quality Index and Normalized Weighted Performance Metric.
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