Image Enhancement Algorithm and its Application in Image Defogging
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
An image enhancement algorithm and image defogging method are studied in this paper. The formation of fogand the characteristics of fog image are analyzed, and the fog image is preprocessed by histogram equalizationmethod; then the additive white noise is removed by foggy image attenuation model, the atmospheric scatteringphysical model is constructed, the image detail characteristics are enhanced by image enhancement method,and the visual effect of defogging image is enhanced by guided filtering method. The proposed method has agood defogging effect on the image. When the number of training iterations is 3,000, the peak signal-to-noiseratio of the proposed method is 43.29 dB and the image structure similarity is 0.9616, indicating excellentimage defogging effect.
Abstract
An image enhancement algorithm and image defogging method are studied in this paper. The formation of fogand the characteristics of fog image are analyzed, and the fog image is preprocessed by histogram equalizationmethod; then the additive white noise is removed by foggy image attenuation model, the atmospheric scatteringphysical model is constructed, the image detail characteristics are enhanced by image enhancement method,and the visual effect of defogging image is enhanced by guided filtering method. The proposed method has agood defogging effect on the image. When the number of training iterations is 3,000, the peak signal-to-noiseratio of the proposed method is 43.29 dB and the image structure similarity is 0.9616, indicating excellentimage defogging effect.
참고문헌 (12)
- Boyang Zhao, "RETRACTED ARTICLE: Plateau environment and urban planning based on image defogging algorithm", Arabian Journal of Geosciences, 14(15) (2021), Springer Science and Business Media LLC[DOI]
- Shengmin He, "Integrated image defogging network based on improved atmospheric scattering model and attention feature fusion", Earth Science Informatics, 14(4), pp.2037~2048 (2021), Springer Science and Business Media LLC[DOI]
- Wei Liu, "Image Defogging Quality Assessment: Real-World Database and Method", IEEE Transactions on Image Processing, 30, pp.176~190 (2021), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Sebastian Salazar-Colores, "Fast Single Image Defogging With Robust Sky Detection", IEEE Access, 8, pp.149176~149189 (2020), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Zuyun Jiang, "Image Defogging Algorithm Based on Sky Region Segmentation and Dark Channel Prior", Journal of Systems Science and Information, 8(5), pp.476~486 (2020), Journal of Systems Science and Information (JSSI)[DOI]
- J. You, "Dehazing and enhancement research of polarized image based on dark channel priori principle", Laser & Infrared, 50(4), pp.493~500 (2020)
- H. He, "An image defogging method based on MALLAT algorithm", Journal of Xinjiang Normal University(Natural Sciences Edition), 39(1), pp.23~27 (2020)
- X. Wang, "MSRCR image defog algorithm based on multi-scale detail optimization", Experimental Technology and Management, 37(9), pp.92~97 (2020)
- Najmul Hassan, "A cascaded approach for image defogging based on physical and enhancement models", Signal, Image and Video Processing, 14(5), pp.867~875 (2020), Springer Science and Business Media LLC[DOI]
- Aneela Sabir, "Segmentation-based image defogging using modified dark channel prior", EURASIP Journal on Image and Video Processing, 2020(1) (2020), Springer Science and Business Media LLC[DOI]
- Yan Yang, "Attention‐based end‐to‐end image defogging network", Electronics Letters, 56(15), pp.759~761 (2020), Institution of Engineering and Technology (IET)[DOI]
- Dilbag Singh, "Single image defogging by gain gradient image filter", Science China Information Sciences, 62(7) (2019), Springer Science and Business Media LLC[DOI]