Letters: Ratio rule and homomorphic filter for enhancement of digital colour image

Authors:
Ming-Jung Seow;Vijayan K. Asari
Affiliations:
Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA;Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA
Venue:
Neurocomputing
Year:
2006

Citing 5
Cited 6

Digital Image Processing (3rd Edition)

Digital Image Processing (3rd Edition)
A multiscale retinex for bridging the gap between color images and the human observation of scenes

IEEE Transactions on Image Processing
Shape preserving local histogram modification

IEEE Transactions on Image Processing
Complex-valued multistate neural associative memory

IEEE Transactions on Neural Networks
A new design method for the complex-valued multistate Hopfield associative memory

IEEE Transactions on Neural Networks

A tunable high-performance architecture for enhancement of stream video captured under non-uniform lighting conditions

Microprocessors & Microsystems
The use of high-pass filters and the inpainting method to clouds removal and their impact on satellite images classification

ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Visual impact enhancement via image histogram smoothing and continuous intensity relocation

Computers and Electrical Engineering
Design of an efficient flexible architecture for color image enhancement

ACSAC'06 Proceedings of the 11th Asia-Pacific conference on Advances in Computer Systems Architecture
A particle swarm optimization method for tuning the parameters of multiscale retinex based color image enhancement

Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Image dehazing based on haziness analysis

International Journal of Automation and Computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

Digital colour image enhancement using a homomorphic filter provides good dynamic range compression, but it fails in colour rendition. In this letter, we propose to perform natural colour rendition in a digital colour image that is enhanced by a homomorphic filter. A novel neural network learning algorithm, named Ratio rule, is used to carry out the natural colour rendition process. The Ratio rule learns to restore colour in an image by representing the colour relationships of each pixel in the original image as a line of attraction in the state space. The dynamics of the neural network is then used as an associative memory for recalling the natural colour characteristics of image pixels after homomorphic filtering. Several experiments on benchmark problems show that the new technique of image enhancement can generate natural colour in images from their original colour information.