JOURNAL ARTICLE

An improved single image defogging method based on Retinex

Abstract

We propose an improved image defogging algorithm based on Retinex, which consists of two parts: HSV color enhancement and RGB space detail enhancement. Through the single-scale Retinex algorithm to enhance the brightness component, in HSV space to introduce enhanced adjustment factor, to avoid color distortion and noise amplification, to achieve the effect of color enhancement. In the RGB space, based on the single-scale Retinex algorithm, the Gaussian filter is replaced by a Butterworth filter for detail enhancement to achieve better results. Finally, the two images are fused to make up for the loss of detail and color distortion of Retinex algorithm. The image is evaluated from both subjective and objective aspects, and it is proved that the improved algorithm has better image quality than the original one.

Keywords:
Color constancy Artificial intelligence RGB color model Computer vision HSL and HSV RGB color space Brightness Computer science Filter (signal processing) Gamut Distortion (music) Image (mathematics) Color image Image processing Optics

Metrics

28
Cited By
2.03
FWCI (Field Weighted Citation Impact)
9
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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