Abstract
Purple fringe aberration (PFA) patterns stem from specific defects in certain camera sensor grids, leading to the fraying of edges near high-contrast regions. Much of the literature deploys predefined, absolute, experimentally determined static thresholds for detecting purple fringes. Given the potential diversity in the spectral signature of the local light source, these fringes may not have a static distribution. It is therefore important to make the detection procedure content-adaptable and in tune with the environmental settings. In this paper, we propose a PFA detection procedure in the Y-Cb-Cr CHROMATIC space, by first using a global relativistic Y-channel-gradient threshold for detecting the high-contrast regions and then use the fact that PURPLE and GREEN are antipodes of each other to segregate PURPLE fringes reliably. Comparisons with the state-of-the-art detection approaches are presented. The advantage with the proposed approach rests with the fact that the threshold is content-adaptable and non-static and can therefore be used to pick up diverse fringe patterns (not necessarily confined to the seat of PURPLE).
Keywords
This is a preview of subscription content, log in via an institution.
References
Nakamura, J.: Image sensors and signal processing for digital still cameras. CRC Press (2005).
CCD versus CMOS (http://www.dallmeier.com/fr/produits-electronic/cameras/bon-a-savoir/ccd-vs-cmos.html).
Yerushalmy, I., Hel-Or, H.: Digital image forgery detection based on lens and sensor aberration. Volume 92., Springer (2011) 71–91.
Kang, S.: Automatic removal of purple fringing from images (July 5 2007) US Patent App. 11/322,736.
Kim, B., Park, R.: Automatic detection and correction of purple fringing using the gradient information and desaturation. In Proceedings of the 16th European Signal Processing Conference. Volume 4. (2008).
Ju, H.J., Park, R.H.: Colour fringe detection and correction in ycbcr colour space. Image Processing, IET 7(4) (June 2013) 300–309.
Chung, S.W., Kim, B.K., Song, W.J.: Detecting and eliminating chromatic aberration in digital images. In: Image Processing (ICIP), 2009 16th IEEE International Conference on. (Nov 2009) 3905–3908.
Kim, B.K., Park, R.H.: Detection and correction of purple fringing using colour desaturation in the xy chromaticity diagram and the gradient information. Image and Vision Computing 28(6) (2010) 952–964.
YCbCr (https://en.wikipedia.org/wiki/YCbCr).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Karthik, K., Malik, P. (2018). Purple Fringing Aberration Detection Based on Content-Adaptable Thresholds. In: Somani, A., Srivastava, S., Mundra, A., Rawat, S. (eds) Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation, Systems and Technologies, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-10-5828-8_7
Download citation
DOI: https://doi.org/10.1007/978-981-10-5828-8_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5827-1
Online ISBN: 978-981-10-5828-8
eBook Packages: EngineeringEngineering (R0)