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This document presents a novel method for estimating and filtering Gaussian noise in images, utilizing a nonlinear algorithm that preserves details while automatically tuning parameters without prior knowledge of noise levels. The method demonstrates effective noise reduction and detail preservation through a two-pass filtering process, yielding satisfactory results in experimental tests. The paper discusses the filtering performance compared to existing techniques, highlighting its advantages in real-world

Author

phungtrieutan

Language

EN