Laplacian-Based Frequency Domain Filter for the Restoration of Digital Images Corrupted by Periodic Noise


This paper presents a replacement Laplacian-primarily based frequency domain filter for the effective restoration of images corrupted by periodic noise. Within the noise detection phase of the proposed algorithm, the Laplacian high-pass filter eases the thresholding-primarily based noise detection method by highlighting noisy peak areas from uncorrupted areas of the origin-shifted Fourier-reworked corrupted image. The filtering section of the proposed algorithm restores the detected noisy frequencies with nearest uncorrupted frequencies to confirm high fidelity within the restored image. Experimental analysis on different pictures reveals that the proposed algorithm produces higher outputs in terms of subjective and objective metrics than other distinguished algorithms.

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