Dr. Chandra Mouli P.V.S.S.R.
July 29, 2023 2024-08-21 19:45
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Research Highlights : Currently I am working on image enhancement, watermarking areas using machine learning and deep learning concepts. In addition, I am associated with Dr. K.C. Santosh from University of South Dakota and Dr. Byoung-Kwan Cho from Chungnam National University South Korea. My Indian collaborators like Dr. G.G. Lakshmi Priya, Dr. R. Srinivasa Perumal from VIT Vellore and Chennai respectively. Recent Publications : Vaidya, S. P., and Chandra Mouli, PVSSR., (2023). Robust digital color image watermarking based on compressive sensing and DWT. Multimedia Tools and Applications, 1-15. Soundrapandiyan, R., Satapathy, S. C., Chandra Mouli, PVSSR.., and Nhu, N. G. (2022). A comprehensive survey on image enhancement techniques with special emphasis on infrared images. Multimedia Tools and Applications, 1-33. Karthik, S., Srinivasa Perumal, R., and Chandra Mouli, P. V. S. S. R. (2018). Breast cancer classification using deep neural networks. Knowledge Computing and Its Applications: Knowledge Manipulation and Processing Techniques: Volume 1, 227-241. Prasanth Vaidya, S., and Chandra Mouli, PVSSR., (2017). A robust semi-blind watermarking for color images based on multiple decompositions. Multimedia Tools and Applications, 76, 25623-25656. Srinivasa Perumal, R., and Chandra Mouli, PVSSR., (2016). Dimensionality reduced local directional pattern (DR-LDP) for face recognition. Expert Systems with Applications, 63, 66-73. Prakash, C., Rajkumar, S., and Chandra Mouli, PVSSR., (2012, April). Medical image fusion based on redundancy DWT and Mamdani type min-sum mean-of-max techniques with quantitative analysis. In 2012 International conference on recent advances in computing and software systems (pp. 54-59). IEEE. Vaidya, S. P., and Chandra Mouli, PVSSR., (2015). Adaptive digital watermarking for copyright protection of digital images in wavelet domain. Procedia Computer Science, 58, 233-240. Soundrapandiyan, R., and Chandra Mouli, PVSSR., (2015). Adaptive pedestrian detection in infrared images using background subtraction and local thresholding. Procedia Computer Science, 58, 706-713. Prasanth Vaidya, S., and Chandra Mouli, PVSSR., (2018). Adaptive, robust and blind digital watermarking using Bhattacharyya distance and bit manipulation. Multimedia Tools and Applications, 77, 5609-5635. Rajkumar, S., and Chandra Mouli, PVSSR., (2014). Infrared and visible image fusion using entropy and neuro-fuzzy concepts. In ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India-Vol I: Hosted by CSI Vishakapatnam Chapter (pp. 93-100). Springer International Publishing." |
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