Wavelet transform based image enhancement: A noise reduction approach
Vol 1, Issue 1, 2023
VIEWS - 97 (Abstract)
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1. Donoho DL. De-noising by soft-thresholding. IEEE Transactions on Information Theory 1995; 41(3): 613–627. doi: 10.1109/18.382009
2. Kaur M, Sharma K, Dhillon N. Image denoising using wavelet threholding. International Journal of Engineering and Computer Science 2013; 2(10): 2932–2935.
3. Jangra S, Rajotiya RN. An improved threshold value for image denoising using wavelet transforms. International Journal of Engineering Research and Applications 2013; 3(6): 1893–1897.
4. Ayesha S, Lingeswara Rao MVR, Mallaparapu K. Wavelet transform based estimation of images using different thresholding techniques. International Journal of Computer Applications 2017; 167(8): 20–24. doi: 10.5120/ijca2017914351
5. Rai RK, Sontakke TR. Implementation of image denoising using thresholding techniques. International Journal of Computer Technology and Electronics Engineering 2011; 1(2): 6–10.
6. Mallaparapu KR, Ramarao KV, Masthan S. Wavelet transform based estimation of 1 dimensional signal. International Journal of Innovative Technology and Exploring Engineering (IJITEE) 2020; 9(4): 1264–1267. doi: 10.35940/ijitee.D9063.029420
7. Prasad VVKDV. A new wavelet packet based method for denoising of biological signals. International Journal of Research in Computer and Communication Technology 2013; 2(10): 1056–1062.
8. Bijalwan A, Goyal A, Sethi N. Wavelet transform based image denoise using threshold approaches. International Journal of Engineering and Advanced Technology (IJEAT) 2012; 1(5): 218–221.
9. Koteswararao M, Prasad VVKDV. Decimated and undecimated wavelet transforms based estimation of images. International Journal of Innovative Research in Science, Engineering and Technology 2014; 3(10): 16981–16988. doi: 10.15680/IJIRSET.2014.0310080
10. Mallaparapu K, Krishna BA, Masthan S, Susmitha CD. Analysis of denoising on different signals using new thresholding function. In: Proceedings of the 2018 Conference on Signal Processing and Communication Engineering Systems (SPACES); 4–5 January 2018; Vijayawada, India. pp. 154–162.
11. Brar R, Kumar R. Image denoising using wavelet thresholding hybrid approach. In: Proceedings of SARC-IRAJ International Conference; 22 June 2013; New Delhi, India. pp. 42–45.
12. Kumar V, Kumar DA. Simulative analysis of image denoising using wavelet thresholding technique. International Journal of Advanced Research in Computer Engineering & Technology 2013; 2(5).
13. Prasad VVKDV, Siddaiah P, Rao BP. Denoising of biological signals using different wavelet based methods and their comparison. Asian Journal of Information Technology 2008; 7: 146–149.
14. Donoho DL, Johnstone IM. Adapting to unknown smoothness via wavelet shrinkage. Journal of the American Statistical Association 1995; 90(432): 1200–1224. doi: 10.1080/01621459.1995.10476626
15. Prasad VVKDV, Siddaiah P, Rao BP. Denoising of biological signals using a new wavelet shrinkage method. In: Proceedings of the 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems; 8–10 December 2008; Kharagpur, India. pp. 1–5.
16. Agante PM, de Sá JMP. ECG noise filtering using wavelets with soft-thresholding methods. In: Proceedings of the Computers in Cardiology 1999. 26–29 September 1999; Hannover, Germany. pp. 535–538. doi: 10.1109/CIC.1999.826026
17. Jansen M. Noise Reduction by Wavelet Thresholding. Springer; 2001.
18. Fodor IK, Kamath C. Denoising through wavelet shrinkage: An empirical study. Journal of Electronic Imaging 2003; 12(1): 151–160. doi: 10.1117/1.1525793
19. Chang KM, Liu SH. Gaussian noise filtering from ECG by Wiener filter and ensemble empirical mode decomposition. Journal of Signal Processing Systems 2011; 64: 249–264. doi: 10.1007/s11265-009-0447-z
20. Gao Q, Li H, Zhuang Z, Wang T. De-noising of ECG signal based on stationary wavelet transform. Acta Electronica Sinica 2003; 31(2): 238–240.
21. Misiti M, Misisti Y, Oppenheim G, Poggi JM. Wavelet Toolbox User’s Guide: For Use with MATLAB. The MathWorks Inc; 1996.
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3029-2298 (Online)