Abstract
Padding the boundary is the first step in image filtering. If not appropriately handled, it often cause serious artifacts and losing information. In this paper an optimized boundary padding method is proposed to solve this problem. We analyze the pixel values near the boundary, calculate the gradient of the pixels, and pad the input image with a center symmetric padding method. Consequently, the details of the boundary will be preserved, and the number of unexpected noise will be suppressed as much as possible. We demonstrate that the center symmetric padding method is more effective than the traditional border handling methods in some computer vision applications.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
He, K., Sun, J., Tang, X.: Guided image filtering. IEEE Trans. Pattern Anal. Mach. Intell. 35, 1397–1409 (2013)
Liu, R., Jia, J.: Reducing boundary artifacts in image deconvolution. In: 15th IEEE International Conference on Image Processing, San Diego Convention Center, San Diego, CA, USA (2008)
Leonard, G., Hamey, C.: A functional approach to border handling in image processing. In: Digital Image Computing: Techniques and Applications (DICTA), Adelaide, Australia (2015)
Ragan-Kelley, J., Barnes, C., Adams, A., Paris, S., Durand, F., Amarasinghe, S.: Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines. In: Proceedings of the 2013 ACM Sigplan Conference on Programming Language Design and Implementation, Seattle, WA, USA (2013)
Li, T., Zhang, X., Li, C.: An improved adaptive image filter for edge and detail information preservation. In: International Conference on Systems and Informatics, Yantai, China (2012)
Chen, W., Gu, C., Lee, M.C.: Repetitive and morphological padding for object-based video coding. In: International Conference on Image Processing, vol. 1, Santa Barbara, CA, USA (1997)
Reeves, S.J.: Fast image restoration without boundary artifacts. IEEE Trans. Image Process. 14, 1448–1453 (2005)
Ng, P.-E., Ma, K.-K.: A switching median filter with boundary discriminative noise detection for extremely corrupted images. IEEE Trans. Image Process. 15, 1506–1516 (2006)
Li, S.Z.: Markov Random Field Modeling in Image Analysis. Springer, London (2001)
Acknowledgements
This research is financially supported by National Natural Science Foundation of China (No. 61203184).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, M., Zhong, X. (2017). A Center Symmetric Padding Method for Image Filtering. In: Kim, K., Joukov, N. (eds) Information Science and Applications 2017. ICISA 2017. Lecture Notes in Electrical Engineering, vol 424. Springer, Singapore. https://doi.org/10.1007/978-981-10-4154-9_15
Download citation
DOI: https://doi.org/10.1007/978-981-10-4154-9_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4153-2
Online ISBN: 978-981-10-4154-9
eBook Packages: EngineeringEngineering (R0)