| Autor: |
Pushpa Koranga, Garima Singh, Dikendra Verma, Shshank Chaube, Anuj Kumar, Sangeeta Pant |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
International Journal of Mathematical, Engineering and Management Sciences, Vol 3, Iss 4, Pp 444-449 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2455-7749 |
| DOI: |
10.33889/IJMEMS.2018.3.4-032 |
| Popis: |
The image often contains noises due to several factors such as a problem in devices or due to an environmental problem etc. Noise is mainly undesired information, which degrades the quality of the picture. Therefore, image denoising method is adopted to remove the noises from the degraded image which in turn improve the quality of the image. In this paper, image denoising has been done by wavelet transform using Visu thresholding techniques for different wavelet families. PSNR (Peak signal to noise ratio) and RMSE (Root Mean Square Error) value is also calculated for different wavelet families. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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