A robust denoising filter with adaptive edge preservation
Journal
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Journal Volume
5353 LNCS
Pages
923-926
Date Issued
2008
Author(s)
Chiu, L.-C.
Abstract
To preserve edge information during noise removal, bilateral filtering is designed as a powerful denoising filter using Gaussian function with geometric and photometric information. Unfortunately, peak noise will be regarded as effective high-frequency information and degrade the performance of bilateral filter. We design a new robust denoising filter employing image pre-processing and high-frequency edge detection. This filter can preserve details and remove noise simultaneously and it performs better than bilateral filter. © 2008 Springer.
SDGs
Type
conference paper