Author:
Sharma Teena,Verma Nishchal K.
Publisher
Springer Nature Singapore
Reference23 articles.
1. Dua H, Sharma T, Agrawal P, Verma NK (2017) An efficient algorithm for image haze removal in outdoor environment. In: 2017 international conference on computational intelligence: theories, applications and future directions (ICCI-2017), Springer, IIT Kanpur, India, vol II, Dec 6-8, pp 319–331. https://doi.org/10.1007/978-981-13-1135-2_25
2. Sinha A, Sharma T, Agrawal P, Verma NK (2021) Modified transmission map estimation with gradient domain guided image filtering for single image dehazing. Aerospace and Defence Related Mechanisms (ARMS 2021), Pune, pp 567–575 (Accepted)
3. Agrawal I, Sharma T, Verma NK (2020) Low-light image restoration using dehazing-based inverted illumination map enhancement. Applied mathematics and computational intelligence, ICAMCI-2020. Springer Proceedings in mathematics & statistics, Tripura, India, Dec. 23–24, pp 135–145. https://doi.org/10.1007/978-981-19-8194-4_12
4. Nalla BT, Sharma T, Verma NK, Sahoo SR (2018) Image dehazing for object recognition using faster RCNN. In: 2018 international joint conference on neural networks (IJCNN), Rio de Janeiro, Brazil, July 8-13, 2018, pp 1–7. https://doi.org/10.1109/IJCNN.2018.8489280
5. Sharma T, Nalla BT, Verma NK, Vasikarla S (2022) FR-HDNet: faster RCNN based haze detection network for image dehazing. In: IEEE applied imagery pattern recognition workshop (AIPR). Washington, DC, USA, Oct. 11–13 (2022), pp 1–8. https://doi.org/10.1109/AIPR57179.2022.10092202