Image Denoising Algorithm via Spatially Adaptive Bilateral Filtering

Abstract:

The classical bilateral filtering algorithm is a non-linear and non-iterative image denoising method in spatial domain which utilizes the spatial information and the intensity information between a point and its neighbors to smooth the noisy images while preserving edges well. To further improve the image denoising performance, a spatially adaptive bilateral filtering image deonoising algorithm with low computational complexity is proposed. The proposed algorithm takes advantage of the local statistics characteristic of the image signal to better preserve the edges or textures while suppressing the noise. Experiment results show that the proposed image denoising algorithm achieves better performance than the classical bilateral filtering image denoising method.

• Periodical: Advanced Materials Research (Volumes 760-762)
• Pages: 1515-1518
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.760-762.1515
• Online since: September 2013
• Authors: Min Qi, Zuo Feng Zhou, Jing Liu, Jian Zhong Cao, Hao Wang, A Qi Yan, Deng Shan Wu, Hui Zhang, Li Nao Tang
• Keywords: Bilateral Filtering, Image De-Noising, Local Statistics Characteristic, Spatially Adaptive

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