| Poisson image denoising using fast discrete curvelet transform and wave atom S Palakkal, KMM Prabhu Signal Processing 92 (9), 2002-2017, 2012 | 37 | 2012 |
| Poisson noise removal from images using the fast discrete curvelet transform S Palakkal, KMM Prabhu 2011 National Conference on Communications (NCC), 1-5, 2011 | 7 | 2011 |
| Annotation-free Quality Estimation of Food Grains using Deep Neural Network LB Akankshya Kar, Prakhar Kulshreshtha, Ayush Agrawal, Sandeep Palakkal British Machine Vision Conference (BMVC), 2019 | 5* | 2019 |
| Ridgelet and Curvelet first generation Toolbox‖ S PALAKKAL | 4 | 2012 |
| Real-Time Driver Drowsiness Detection Using Deep Learning and Heterogeneous Computing on Embedded System S Khare, S Palakkal, TVH Krishnan, C Seo, Y Kim, S Yun, ... International Conference on Computer Vision and Image Processing, 86-97, 2019 | 3 | 2019 |
| 2D-spectral estimation based on DCT and modified magnitude group delay P Sandeep, BKS Kumar, SV Narasimhan Signal, Image and Video Processing 7 (5), 959-973, 2013 | 1 | 2013 |
| Method and system for predicting optimal number of threads for application running on electronic device S Nagaswamy, SS Palasamudram, K Somanathan, S Palakkal US Patent App. 16/225,595, 2019 | | 2019 |
| Poisson image denoising using geometric platelets and geometric quadlets S Palakkal, KMM Prabhu Signal Processing 93 (7), 1748-1763, 2013 | | 2013 |
| Directionlet-based PURE-LET for Poisson Image Denoising S Palakkal, KMM Prabhu Proceedings of the International Conference on Image Processing, Computer …, 2012 | | 2012 |
