JOURNAL ARTICLE

Gamma-Correction-Based Visibility Restoration for Single Hazy Images

Mingye JuCan DingDengyin ZhangY. Jay Guo

Year: 2018 Journal:   IEEE Signal Processing Letters Vol: 25 (7)Pages: 1084-1088   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this letter, a concise gamma-correction-based dehazing model (GDM) is proposed. This GDM explicitly describes the inner relationship between the gamma correction (GC) and the traditional scattering model. Combined with the existing priori constraints, GDM is further approximated into a one-dimensional (1-D) function to seek the only unknown constant that is used for haze removal. Using the determined constant, the scene albedo can be recovered, eliminating the haze from single hazy images. The proposed GDM is able to suppress the halo/blocking artifacts in the recovered results due to the scene albedo, which is less sensitive to the determined constant. Simulation results on different types of benchmark images verify that the proposed technique outperforms state-of-the-art methods in terms of both recovery, quality, and real-time performance.

Keywords:
Visibility Haze Gamma correction Computer science Albedo (alchemy) Constant (computer programming) Benchmark (surveying) Artificial intelligence Computer vision A priori and a posteriori Blocking (statistics) Image restoration Algorithm Image (mathematics) Pattern recognition (psychology) Image processing Physics Optics

Metrics

79
Cited By
4.91
FWCI (Field Weighted Citation Impact)
24
Refs
0.95
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
Visual Attention and Saliency Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology

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