Restoration of dehaze and defog image using novel cross entropy-based deep learning neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17835-z.pdf
Reference43 articles.
1. Sharma N, Kumar V, Singla SK (2021) Single image defogging using deep learning techniques past, present and future. Arch Comput Methods Eng 28:4449–4469
2. Kuanar S, Mahapatra D, Bilas M, Rao KR (2021) Multi-path dilated convolution network for haze and glow removal in nighttime images. Vis Comput. https://doi.org/10.1007/s00371-021-02071-z
3. Riaz S, Anwar MW, Riaz I, Kim H-W, Nam Y, Khan MA (2022) Multiscale image dehazing and restoration an application for visual surveillance. Comput Mater Continua 70(1):1–17
4. Thanh LT, Thanh DNH, Hue NM, Surya Prasath VB (2019) Single image dehazing based on adaptive histogram equalization and linearization of gamma correction. 25th Asia-Pacific Conference on Communications (APCC), 6–8 November, Ho Chi Minh City, Vietnam
5. Tufail Z, Khurshid K, Salman A, Khurshi K (2019) Optimisation of transmission map for improved image defogging. Inst Eng Technol 13(7):11161–11169
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