JOURNAL ARTICLE

The Fast Algorithm for Single Image Defogging Based on YCrCb Space

Shimeng LuXuemei Yang

Year: 2017 Journal:   DEStech Transactions on Materials Science and Engineering

Abstract

Considering about the poor quality of fog image and the high time complexity of former method, this article proposes a fast algorithm for fog image based on YCrCb color space. First, we established a corresponding YCrCb space defogging model by atmospheric physical model; then adapting mean filtering algorithm processed the channel component, finally synthetize the YCrCb channel processed to generate the defogged picture. By comparing the images with different resolution and fog concentration, it is evidenced that the algorithm recovered the color message effectively and thus achieved defogging effect better; especially the algorithm efficiency improved hugely, this makes it possible to process the video image under foggy weather timely, furthermore, it could also be put into engineering use.

Keywords:
Image (mathematics) Computer science Channel (broadcasting) Algorithm Computer vision Artificial intelligence Space (punctuation) Process (computing) Component (thermodynamics) Image quality Telecommunications

Metrics

2
Cited By
0.13
FWCI (Field Weighted Citation Impact)
0
Refs
0.52
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

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