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An Improved Adaptive Bilateral Filter to Remove Gaussian Noise from Color Images
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kaur, Manjeet Gupta, Shailender |
| Copyright Year | 2015 |
| Abstract | Introduction of noise in image causes variation in brightness or colour information. Various noises such as Gaussian, Impulse, Speckle, Periodic andPoisson noise deteriorates the picture quality. Gaussian noise is the most popular one that incurs during acquisition process caused by poor illumination and/or high temperature. This paper proposes an improved modified adaptive Bilateral Filter to remove Gaussian noise from colour images. This technique is implemented in MATLAB-9 and various performance metrics taken into consideration are: Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Mean Absolute Error (MAE), and Normalized Colour Difference (NCD). The result shows that the proposed technique gives the best results than all other techniques in terms of all comparison parameters. |
| Starting Page | 49 |
| Ending Page | 64 |
| Page Count | 16 |
| File Format | PDF HTM / HTML |
| DOI | 10.14257/ijsip.2015.8.3.05 |
| Volume Number | 8 |
| Alternate Webpage(s) | http://article.nadiapub.com/IJSIP/vol8_no3/5.pdf |
| Alternate Webpage(s) | http://www.sersc.org/journals/IJSIP/vol8_no3/5.pdf |
| Alternate Webpage(s) | https://doi.org/10.14257/ijsip.2015.8.3.05 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
