- 期刊
- OpenAccess
Performance Analysis of Modified Nonsubsampled Contourlet Transform for Image Denoising
並列摘要
In this study, we develop modified Nonsubsampled Contourlet Transform (NSCT). The construction of NSCT is based on new nonsubsampled pyramid structure and Nonsubsampled Directional Filters (NSDF). The result is improved in flexible multiage, multidirectional and shift invariant image decomposition that can be effectively implemented through Matlab. The modified NSCT, it proposed to distinguish noise and edge effectively. So we assess the performance of the modified NSCT in image denoising applications. In this application the NSCT compares favorably to other existing method.
延伸閱讀
- Rodríguez, P. (2013). Total Variation Regularization Algorithms for Images Corrupted with Different Noise Models: A Review. Journal of Electrical and Computer Engineering, 2013(), 67-84. https://doi.org/10.1155/2013/217021
- Prasath, V. B. S., & Singh, A. (2010). Well-Posed Inhomogeneous Nonlinear Diffusion Scheme for Digital Image Denoising. Journal of Applied Mathematics, 2010(), 325-338. https://doi.org/10.1155/2010/763847
- BHARDWAJ, S., PANDOVE, G., & DAHIYA, P. K. (2021). An Analysis of Two Novel and Efficient Deep Learning Models for Fast and Accurate Image Retrieval. Journal of Information Science and Engineering, 37(1), 185-201. https://doi.org/10.6688/JISE.202101_37(1).0012
- Huang, S., Huang, W., & Zhang, T. (2016). A Change Detection Method of Multi-temporal SAR Images Based on Contourlet Transform. International Journal of Remote Sensing Applications, 6(), 53-64. https://doi.org/10.14355/ijrsa.2016.06.006
- Ogada, E. A., Guo, Z., & Wu, B. (2014). An Alternative Variational Framework for Image Denoising. Abstract and Applied Analysis, 2014(), 150-165. https://doi.org/10.1155/2014/939131