Abstract
Image denoising is a well-studied problem in the field of image processing and computer vision. It is a challenge to important image features, such as edges, corners, etc., during the denoising process. Wavelet transform provides a suitable basis for suppressing noisy signals from the image. This paper presents a novel edge-preserving image denoising technique based on tetrolet transform to preserve edges. Experimental results, compared to other approaches, demonstrate that the proposed method is suitable especially for the natural images corrupted by Gaussian noise.
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Jain, P., Tyagi, V. (2015). An Adaptive Edge-Preserving Image Denoising Using Epsilon-Median Filtering in Tetrolet Domain. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1. Advances in Intelligent Systems and Computing, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-319-13728-5_44
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DOI: https://doi.org/10.1007/978-3-319-13728-5_44
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13727-8
Online ISBN: 978-3-319-13728-5
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