Quaternion switching filter for impulse noise reduction in color image

Authors:
Xin Geng;Xiaoguang Hu;Jin Xiao
Affiliations:
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Venue:
Signal Processing
Year:
2012

Citing 24
Cited 3

Color image processing and applications

Color image processing and applications
Adaptive vector median filtering

Pattern Recognition Letters
Adaptive Color Image Filtering Based on Center-Weighted Vector Directional Filters

Multidimensional Systems and Signal Processing
Fast adaptive similarity based impulsive noise reduction filter

Real-Time Imaging - Special issue on spectral imaging
Selection weighted vector directional filters

Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Fast detection and impulsive noise removal in color images

Real-Time Imaging - Special issue on multi-dimensional image processing
A fast impulsive noise color image filter using fuzzy metrics

Real-Time Imaging - Special issue on multi-dimensional image processing
Sharpening vector median filters

Signal Processing
Spatial and spectral quaternionic approaches for colour images

Computer Vision and Image Understanding
Generalized selection weighted vector filters

EURASIP Journal on Applied Signal Processing
Local self-adaptive fuzzy filter for impulsive noise removal in color images

Signal Processing
Isolating impulsive noise pixels in color images by peer group techniques

Computer Vision and Image Understanding
Impulse noise suppression with an augmentation of ordered difference noise detector and an adaptive variational method

Pattern Recognition Letters
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images

IEEE Transactions on Image Processing
Some improvements for image filtering using peer group techniques

Image and Vision Computing
Peer group switching filter for impulse noise reduction incolor images

Pattern Recognition Letters
Modified switching median filter for impulse noise removal

Signal Processing
Two-step fuzzy logic-based method for impulse noise detection in colour images

Pattern Recognition Letters
Color impulsive noise removal based on quaternion representation and directional vector order-statistics

Signal Processing
A Quaternion Framework for Color Image Smoothing and Segmentation

International Journal of Computer Vision
Directional processing of color images: theory and experimental results

IEEE Transactions on Image Processing
Peer group image enhancement

IEEE Transactions on Image Processing
Partition-based vector filtering technique for suppression of noise in digital color images

IEEE Transactions on Image Processing
Vector directional filters-a new class of multichannel image processing filters

IEEE Transactions on Image Processing

Fast communication: Analysis and improvement of SUSAN algorithm

Signal Processing
Dictionary learning based impulse noise removal via L1-L1 minimization

Signal Processing
A switching weighted vector median filter based on edge detection

Signal Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

A novel approach to impulse noise reduction in color image is introduced in this paper. By applying the quaternion unit transform theory, the difference between two color pixels can be represented in the quaternion form. Based on the difference mentioned above, an efficient filter that can switch between the vector median filter (VMF) and the identity filter (no filtering operation) is proposed. Extensive simulation result indicates that the proposed filter achieves a trade-off between noise suppression and detail preservation in both correlated and uncorrelated impulse noise scenarios when compared with other widely used filters. Furthermore, the computational complexity analysis shows that the proposed filter is quite efficient.