The Retinex-based image dehazing using a particle swarm optimization method
| Autor: | Zhong-liang Pan, Li-Ping Yao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Color constancy
Computer Networks and Communications Computer science Structural similarity business.industry Particle swarm optimization 020207 software engineering 02 engineering and technology Image (mathematics) Qualitative analysis Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Media Technology Computer vision Enhanced Data Rates for GSM Evolution Bilateral filter Artificial intelligence business Software Hue |
| Zdroj: | Multimedia Tools and Applications. 80:3425-3442 |
| ISSN: | 1573-7721 1380-7501 |
| Popis: | To the best of our knowledge, currently the physical model based method is still an ill posed problem. Additionally, the image enhancement approaches also suffer from the texture preservation issue. Retinex-based approach is proved its effectiveness in image dehazing while the parameter should be turned properly. Therefore, in this paper, the particle swarm optimization (PSO) algorithm is firstly performed to optimize the parameter and the hazed image is converted into hue, saturation, intensity(HSI) for color compensation, In the other hand, the multi-scale local detail upgrading and the bilateral filtering approaches are designed to overcome the dehazing artefacts and edge preservation, which could further improve the overall visual effect of images. Experimental results on natural and synthetic images by using qualitative analysis and frequently used quantitative evaluation metrics illustrate the approving defogging effect of the proposed method. For instance, in a natural image road, our method achieves the higher e for 0.63, γ for 3.21 and H for 7.81, respectively and lower σ for 0.04. In a synthetic image poster, the higher PSNR for 18.17 and SSIM for 0.78 are also acquired compared to other explored approaches in this paper. Besides, the results performed on other underwater and aerial images in this study further demonstrates its defog effectiveness. |
| Databáze: | OpenAIRE |
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