• SOURAV DUTTA
• ARPITA SANTRA
• SANGITA ROY

Edge-Preserving Smoothing is a very important operator in the image processing as well as in computer vision section. It’s an image processing technique that smooth’s away noise or textures while retaining sharp edges. Bilateral filter smooth’s an input image while preserving edges, by means of a non-linear combination of image values. It replaces the intensity of each pixel with a weighted average of its neighbours. Each neighbour is weighted by a spatial component that penalizes distant pixels and range component that penalizes pixels with a different intensity. Bilateral filter parameters are: SSIM, PSNR, NIQE. The bilateral filter gradually approaches Gaussian convolution more closely because the range Gaussian widens and flattens, which means that it becomes nearly constant over the intensity interval of the image. As the spatial parameters increases, the larger features get smoothened.

"Comparative Study of Edge- Preserving Smoothing Bilateral Filter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.k180-k190, May-2022, Available :http://www.jetir.org/papers/JETIR2205B21.pdf

"Comparative Study of Edge- Preserving Smoothing Bilateral Filter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppk180-k190, May-2022, Available at : http://www.jetir.org/papers/JETIR2205B21.pdf