| A survey of edge-preserving image denoising methods P Jain, V Tyagi Information Systems Frontiers, 2014 | 182 | 2014 |
| Pixel-based image forgery detection: A review MD Ansari, SP Ghrera, V Tyagi IETE journal of education 55 (1), 40-46, 2014 | 180 | 2014 |
| Understanding Digital Image Processing V Tyagi | 156 | 2018 |
| Content-based image retrieval V Tyagi Springer, 2017 | 115* | 2017 |
| Content based image retrieval based on relative locations of multiple regions of interest using selective regions matching N Shrivastava, V Tyagi Information Sciences 259, 212-224, 2014 | 110 | 2014 |
| Image forgery detection: survey and future directions KB Meena, V Tyagi Data, Engineering and Applications: Volume 2, 163-194, 2019 | 99 | 2019 |
| An efficient technique for retrieval of color images in large databases N Shrivastava, V Tyagi Computers & Electrical Engineering, 2014 | 98 | 2014 |
| A copy-move image forgery detection technique based on tetrolet transform KB Meena, V Tyagi Journal of Information Security and Applications 52, 102481, 2020 | 91 | 2020 |
| A hybrid copy-move image forgery detection technique based on Fourier-Mellin and scale invariant feature transforms KB Meena, V Tyagi Multimedia Tools and Applications 79 (11), 8197-8212, 2020 | 71 | 2020 |
| LAPB: Locally adaptive patch-based wavelet domain edge-preserving image denoising P Jain, V Tyagi Information Sciences, 2014 | 68 | 2014 |
| Dynamic texture recognition based on completed volume local binary pattern D Tiwari, V Tyagi Multidimensional Systems and Signal Processing, 2015 | 60 | 2015 |
| A copy-move image forgery detection technique based on Gaussian-Hermite moments KB Meena, V Tyagi Multimedia Tools and Applications 78 (23), 33505-33526, 2019 | 56 | 2019 |
| An adaptive edge-preserving image denoising technique using tetrolet transforms P Jain, V Tyagi The Visual Computer, 2014 | 53 | 2014 |
| Texture image retrieval using adaptive tetrolet transforms G Raghuwanshi, V Tyagi Digital Signal Processing 48, 50-57, 2016 | 52 | 2016 |
| A novel scheme based on local binary pattern for dynamic texture recognition D Tiwari, V Tyagi Computer Vision and Image Understanding 150, 58-65, 2016 | 49 | 2016 |
| A deep learning based method for image splicing detection KB Meena, V Tyagi Journal of physics: conference series 1714 (1), 012038, 2021 | 48 | 2021 |
| Spatial and Frequency Domain Filters for Restoration of Noisy Images P Jain, V Tyagi IETE Journal of Education 54 (2), 108-116, 2013 | 44 | 2013 |
| An effective scheme for image texture classification based on binary local structure pattern N Shrivastava, V Tyagi The Visual Computer 30, 1223-1232, 2014 | 43 | 2014 |
| Improved Weber’s law based local binary pattern for dynamic texture recognition D Tiwari, V Tyagi Multimedia Tools and Applications 76, 6623-6640, 2017 | 42 | 2017 |
| Dynamic texture recognition using multiresolution edge-weighted local structure pattern D Tiwari, V Tyagi Computers & Electrical Engineering 62, 485-498, 2017 | 40 | 2017 |
Dr. Kunj Bihari MeenaDepartment of Computer Science and Engineering, Jaypee University of Engineering and Technology在 juet.ac.in 的电子邮件经过验证