Random signals and systems
A Comparison of the Multiscale Retinex With Other Image Enhancement Techniques
A Comparison of the Multiscale Retinex With Other Image Enhancement Techniques
Histogram Equalization using Neighborhood Metrics
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
This paper presents an adaptive Retinex algorithm. In order to solve the typical problems of the Retinex algorithm, such as expensive computational cost, halo artifact, and color distortion, a function of skewness that represents a statistical distribution of pixels is defined to compensate for contrast and color distortion. The experimental results show that the proposed algorithm leads to subjectively better performance than the typical Retinex algorithm, and that proposed algorithm also has the capability of reducing the computational cost by approximately 40%.