AI Chat AI Image Generator AI Video Text to Speech

Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images

09/06/2010

∙

by M. Emre Celebi, et al.

∙

∙

In this paper, a comprehensive survey of 48 filters for impulsive noise removal from color images is presented. The filters are formulated using a uniform notation and categorized into 8 families. The performance of these filters is compared on a large set of images that cover a variety of domains using three effectiveness and one efficiency criteria. In order to ensure a fair efficiency comparison, a fast and accurate approximation for the inverse cosine function is introduced. In addition, commonly used distance measures (Minkowski, angular, and directional-distance) are analyzed and evaluated. Finally, suggestions are provided on how to choose a filter given certain requirements.

M. Emre Celebi
24 publications
Hassan A. Kingravi
8 publications
Y. Alp Aslandogan
2 publications

research

∙ 09/06/2010

A Fast Switching Filter for Impulsive Noise Removal from Color Images

In this paper, we present a fast switching filter for impulsive noise re...

0 M. Emre Celebi, et al. ∙

research

∙ 09/05/2010

Distance Measures for Reduced Ordering Based Vector Filters

Reduced ordering based vector filters have proved successful in removing...

0 M. Emre Celebi, et al. ∙

research

∙ 09/05/2010

Real-Time Implementation of Order-Statistics Based Directional Filters

Vector filters based on order-statistics have proved successful in remov...

0 M. Emre Celebi, et al. ∙

research

∙ 12/03/2019

Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images

Noise reduction is one the most important and still active research topi...

16 Krystian Radlak, et al. ∙

research

∙ 12/07/2018

Removal of Parameter Adjustment of Frangi Filters in Case of Coronary Angiograms

Frangi Filters are one of the widely used filters for enhancing vessels ...

0 Dhruv Gosain, et al. ∙

research

∙ 07/02/2020

Surface Denoising based on Normal Filtering in a Robust Statistics Framework

During a surface acquisition process using 3D scanners, noise is inevita...

0 Sunil Kumar Yadav, et al. ∙

research

∙ 09/06/2010

Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations

Vector operators based on robust order statistics have proved successful...

0 M. Emre Celebi, et al. ∙