文章基本信息

标题：An Improved Adaptive Bilateral Filter to Remove Gaussian Noise from Color Images
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作者：Manjeet Kaur ; Shailender Gupta ; Bharat Bhushan 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：3
页码：49-64
DOI：10.14257/ijsip.2015.8.3.05
出版社：SERSC
摘要：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
关键词：Bilateral filter; Gaussian noise; NCD value; noise removal; range filter; ; sharpness enhancement