Particle swarm based unsharp masking

Authors:
S. Mohamed;R. Jyothi Priya;S. Gift Rojan;S. Yaseer Arafath
Affiliations:
Thiagarajar College of Engineering, Thirupparankundram, Madurai, Tamil Nadu, India;Thiagarajar College of Engineering, Thirupparankundram, Madurai, Tamil Nadu, India;Thiagarajar College of Engineering, Thirupparankundram, Madurai, Tamil Nadu, India;Thiagarajar College of Engineering, Thirupparankundram, Madurai, Tamil Nadu, India
Venue:
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Year:
2010

Citing 10
Cited 0

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing

Digital image processing
Selection weighted vector directional filters

Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Piecewise linear model-based image enhancement

EURASIP Journal on Applied Signal Processing
Particle swarm optimisation enhancement approach for improving image quality

International Journal of Innovative Computing and Applications
Noise Reduction and Edge Enhancement Based on Band-Pass Epsilon-filter

ICIME '09 Proceedings of the 2009 International Conference on Information Management and Engineering
Adaptive video enhancement using neural network

IEEE Transactions on Consumer Electronics
A general framework for quadratic Volterra filters for edge enhancement

IEEE Transactions on Image Processing
Weighted median image sharpeners for the World Wide Web

IEEE Transactions on Image Processing
Quadratic Weighted Median Filters for Edge Enhancement of Noisy Images

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Edge enhancement is a predominant process in vision based applications. The performance of the image analysis and interpretation tasks depends on the quality of the image features. It insists that an image should be pre-processed to enhance the fine details like edges. Linear Unsharp Masking (UM) is a conventional method to enhance the edges in the image. The effect of Unsharp Masking depends on the scaling factor provided by the user. In this paper, a novel reference free edge enhancement method called, Particle Swarm based Unsharp Masking (PSUM) is introduced where the scaling factor is optimized through Particle Swarm Optimization by minimizing the blur function without a priori information about the content of the image. The proposed work has been tested over various types of images and low resolution videos and proved to enhance the edges.