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Fig. 2 | Visual Computing for Industry, Biomedicine, and Art

Fig. 2

From: Brief review of image denoising techniques

Fig. 2

Visual comparisons of denoising results on Lena image corrupted by additive white Gaussian noise with standard deviation 30: a Wiener filtering [16] (PSNR = 27.81 dB; SSIM = 0.707); b Bilateral filtering [10] (PSNR = 27.88 dB; SSIM = 0.712); c PCA method [87] (PSNR = 26.68 dB; SSIM = 0.596); d Wavelet transform domain method [89] (PSNR = 21.74 dB; SSIM = 0.316); e Collaborative filtering: BM3D [55] (PSNR = 31.26 dB; SSIM = 0.845)

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