Abstract
Sharpness enhancement and noise reduction play crucial roles in computer vision and image processing. The problem is to enhance the appearance and reduce the noise of the digital images without causing halo artifacts. In this paper, we propose an adaptive guided image filtering (AGF) able to perform halo-free edge slope enhancement and noise reduction simulaneously. The proposed method is developed based on guided image filtering (GIF) and the shift-variant technique, part of adaptive bilateral filtering (ABF). Experiments showed the results produced from our method are superior to those produced from unsharp masking-based techniques and comparable to ABF filtered output. Our proposed AGF outperforms ABF in terms of computational complexity. It is implemented using a fast and exact linear-time algorithm.
Keywords
- Edge-preserving smoothing
- guided image filter
- sharpness enhancement
- noise reduction
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References
Aurich, V., Weule, J.: Non-linear gaussian filters performing edge preserving diffusion. In: Proceedings of the DAGM Symposium, pp. 538–545 (1995)
Barash, D.: A Fundamental Relationship Between Bilateral Filtering, Adaptive Smoothing, and the Nonlinear Diffusion Equation. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(6), 844–847 (2002)
Bilcu, R.C., Vehvilainen, M.: Constrained Unsharp Masking for Image Enhancement. In: Proc. of Intl. Conf. on Image and Signal Processing, pp. 10–19 (2008)
Buades, A., Coll, B., Morel, J.M.: The staircasing effect in neighborhood filters and its solution. IEEE Trans. Image Processing 15(6), 1499–1505 (2006)
Chen, J., Paris, S., Durand, F.: Real-time edge-aware image processing with the bilateral grid. ACM Transactions on Graphics 26(3) (2007)
Crow, F.C.: Summed-area tables for texture mapping. In: SIGGRAPH (1984)
Durand, F., Dorsey, J.: Fast Bilateral Filtering for the Display of High-Dynamic-Range Images. ACM Transactions on Graphics 21(3), 257–266 (2002)
Elad, M.: On the bilateral filter and ways to improve it. IEEE Transactions on Image Processing 11(10), 1141–1151 (2002)
He, K., Sun, J., Tang, X.: Guided Image Filtering. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6311, pp. 1–14. Springer, Heidelberg (2010)
Kim, S., Allebach, J.P.: Optimal unsharp mask for image sharpening and noise removal. Journal of Electronic Imaging 14, 023007-1–023007-13 (2005)
Paris, S., Durand, F.: A Fast Approximation of the Bilateral Filter using a Signal Processing Approach. International Journal of Computer Vision 81(1), 24–52 (2009)
Paris, S., Kornprobst, P., Tumblin, J., Durand, F.: Bilateral Filtering: Theory and Applications. In: Foundations and Trends in Computer Graphics and Vision (2009)
Pham, T.Q., Van Vliet, L.J.: Separable bilateral filtering for fast video preprocessing. In: Proceedings of the IEEE Intl. Conf. on Multimedia and Expo (2005)
Penora, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(7), 629–639 (1990)
Polesel, A., Ramponi, G., Mathews, V.G.: Image Enhancement via Addaptive Unsharp Masking. IEEE Trans. Image Processing 9(3), 505–510 (2000)
Smith, S.M., Brady, J.M.: SUSAN - A new approach to low level image processing. International Journal of Computer Vision 23(1), 45–78 (1997)
Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: Proceedings of the IEEE Intl. Conf. on Computer Vision (ICCV), pp. 839–846 (1998)
Zhang, B., Allebach, J.P.: Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal. In: Proc. Intl. Conf. on Image Processing (ICIP), vol. 4, pp. 417–420 (2007)
Zhang, B., Allebach, J.P.: Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal. IEEE Transactions on Image Processing 17(5), 664–678 (2008)
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Pham, C.C., Ha, S.V.U., Jeon, J.W. (2011). Adaptive Guided Image Filtering for Sharpness Enhancement and Noise Reduction. In: Ho, YS. (eds) Advances in Image and Video Technology. PSIVT 2011. Lecture Notes in Computer Science, vol 7087. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25367-6_29
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DOI: https://doi.org/10.1007/978-3-642-25367-6_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25366-9
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