Optimal Weights Mixed Filter for Removing Mixture of Gaussian and Impulse Noises
This addresses noise removal in image processing, but it appears incremental as it builds on prior methods without broad impact.
The paper tackled the problem of removing mixed Gaussian and impulse noise from images by proposing the Optimal Weights Mixed Filter (OWMF), which combines a modified detection method (ROADG) with an existing filter (OWF). The results show it is effective, but no concrete numbers are provided.
According to the character of Gaussian, we modify the Rank-Ordered Absolute Differences (ROAD) to Rank-Ordered Absolute Differences of mixture of Gaussian and impulse noises (ROADG). It will be more effective to detect impulse noise when the impulse is mixed with Gaussian noise. Combining rightly the ROADG with Optimal Weights Filter (OWF), we obtain a new method to deal with the mixed noise, called Optimal Weights Mixed Filter (OWMF). The simulation results show that the method is effective to remove the mixed noise.