The week's pick
Random Articles
Reseach Article
Robust Algorithm for Super Resolution and Extracting Noise from DIP using Trimmed Median Filter
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 149 - Number 9 |
| Year of Publication: 2016 |
| Authors: Kritika, Vedant Rastogi |
10.5120/ijca2016911456
|
Kritika, Vedant Rastogi . Robust Algorithm for Super Resolution and Extracting Noise from DIP using Trimmed Median Filter. International Journal of Computer Applications. 149, 9 ( Sep 2016), 14-19. DOI=10.5120/ijca2016911456
Abstract
In the paper the most efficient model to implement super resolution using discrete wavelet transform is shown. The model is a three step process of image registration, interpolation and noise filtering using DWT. The paper resolutions the deduction of noise in the digital gray scale images. Normally, Data, text, picture, can be tainted by an additive noise with the process of the scanning. This method precludes the different type of noise such as Salt and Pepper noise (SP Noise) that reasons black and white spots in the original image. All the process is explained and simulation result is presented to prove the theory.
References
- R.Y. Tsai, T.S. Huang, “Multi-frame image restoration and registration”, Advances in computer vision and image processing, Vol. 1(2), 1984, pp.317-339
- S.C. Park, M.K. Park and M.G. Kang “Super Resolution and Image Reconstruction: A Technical Overview”, IEEE Signal Processing Magazine 3(20),21-36(2003)
- T Komatsu, K Aizawa, T Igarashi, and T. Saito, “Signal processing based method for acquiring very high resolution image with multiple cameras and its theoretical analysis,” Proc. Inst. Elec. Eng., Vol. 140 no. 1, pt. I, pp 19-25Feb1993.
- S. Chaudhuri, Ed, Super-Resolution Imaging. Norwell, MA: Kluwer, 2001. H. Ur and D. Gross, “Improved resolution from sub-pixel shifted pictures,” CVGIP: Graphical Models and Image Processing, Vol. 54, pp. 181-186, Mar, 1992.
- T. Komatsu, T. Igarashi, K. Aizawa, and T. Saito, “Very high resolution imaging scheme with multiple different-aperture cameras,” Sinal Processing: Image Commun., vol. 5, pp. 511-526, Dec. 1993.
- P.Kamboj, V.Rani, Image Enhancement Using Hybrid Filtering Technique, IJSR, Vol. 2(6), 2013, 214-220.
- Wang, Changhong, Taoyi Chen, and Zhenshen Qu. "A novel improved median filter for salt-and-pepper noise from highly corrupted images." In Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on, pp. 718-722. IEEE, 2010.
- Zhu, Rong, and Yong Wang. "Application of Improved Median Filter on Image Processing." Journal of Computers 7, no. 4 (2012): 838-841.
- Tripathi, A. K., and S. Mukhopadhyay. "Single image fog removal using bilateral filter." In Signal Processing, Computing and Control (ISPCC), 2012 IEEE International Conference on, pp. 1-6. IEEE, 2012.
- Jayaraj, V., D. Ebenezer, and K. Aiswarya. "High density salt and pepper noise removal in images using improved adaptive statistics estimation filter." International Journal of Computer Science and Network Security 9.11 (2009): 170-176.
- Al-amri, Salem Saleh, Namdeo V. Kalyankar, and Santosh D. Khamitkar. "A comparative study of removal noise from remote sensing image." arXiv preprint arXiv: 1002.1148 (2010).
- P.Kamboj, V.Rani, Image Enhancement Using Hybrid Filtering Technique, IJSR, vol. 2(6), 2013, 214-220.
- R.H.Chan, C.W. Ho, M.Nikolova, Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail- Preserving Regularization, IEEE Transactions on Image Processing, vol. 14, No. 10, 1479-1485, 2005.
- Nair, M.S., Revathy, K.; Tatavarti, Removal of Salt and Pepper Noise in Images: A new Decision based Algorithm, IMECS’08, and vol. 1, 2008.
- B.Singh, R.Singh, H.Singh, Removal of High Density Salt & Pepper Noise in Noisy color Images using Proposed Median Filter, vol 2, No 2, 2013.
Index Terms
Keywords