Impulse Noise Detection and Removal Using First Order and Second Order Difference with Multistage Directional Statistics
- Resource Type
- Conference
- Authors
- Rasheed, Saqib; Hussain, Ayyaz
- Source
- 2014 12th International Conference on Frontiers of Information Technology Frontiers of Information Technology (FIT), 2014 12th International Conference on. :325-329 Dec, 2014
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Noise
Digital filters
Noise measurement
Image restoration
Image edge detection
Digital images
Filtering algorithms
First order derivative (FOD)
Second order derivative (SOD)
Random value impulse noise (RVIN)
Directional based similar nearest neighbor filter (DBSNNF)
- Language
Most of the image processing techniques does not perform well when images are corrupted with noise therefore restoration of corrupted images is considered as preprocessing step in most of the image processing applications. Detection and removal of impulse noise is an active area of research and in this paper a novel technique has been proposed which remove Random value impulse noise (RVIN) from digital gray scale images. The proposed method consists of two main modules. First module uses directional based statistics to detect noisy pixels. Detected noisy pixels are passed to the filtering scheme for estimation of their noise free values. Proposed technique has been compared using well known performance measure peak-signal to-noise ratio. Simulations show that the proposed filter can provide excellent performance of suppressing impulse noise in all situations.