Abstract
Predicting a pixel value in an image with the help of neighborhood pixels is important for several tasks, like image compression, reversible data hiding. The paper proposes a novel approach to predict the pixel intensities in an image using a multilayer perceptron. Experimental results show that the proposed method is more efficient than several popular pixel prediction methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Thodi, D.M., Rodriguez, J.J.: Expansion embedding techniques for reversible watermarking. IEEE Trans. Image Process. 16(3), 721–729 (2007)
Hu, Y., Lee, H.K., Li, J.: DE-based reversible data hiding with improved overflow location map. IEEE Trans. Circuits Syst. Video Technol. 19(2), 250–260 (2009)
Weinberger, M., Seroussi, G., Sapiro, G.: The LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS. IEEE Trans. Image Process. 9(8), 1309–1324 (2000)
Xinlu Gui, Xiaolong Li, Bin Yang: A high capacity reversible data hiding scheme based on generalized prediction-error expansion & adaptive embedding. Signal Process. 98, 370–380 (2014)
Wu, X., Memon, N.: Context-based, adaptive, lossless image coding. IEEE Trans. Commun. 45(4), 437–444 (1997)
Avramovi, A., Reljin, B.: Gradient edge detection predictor for image lossless compression. In: Proceedings ELMAR-2010, pp. 131–134. IEEE (2010)
Jaiswal, S.P., Au, O.C., Jakhetiya, V., Guo, Y., Tiwari, A.K., Yue, K.: Efficient adaptive prediction based reversible image watermarking. In: 2013 IEEE International Conference on Image Processing, VIC, pp. 4540–4544 (2013)
Sachnev, V., Kim, H.J., Nam, J., Suresh, S., Shi, Y.Q.: Reversible watermarking algorithm using sorting and prediction. IEEE Trans. Circuits Syst. Video Technol. 19(7), 989–999 (2009)
Dragoi, C., Coltuc, D.: Improved rhombus interpolation for reversible watermarking by difference expansion. In: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) (2012)
Ou, B., Li, X., Zhao, Y., Ni, R.: Reversible data hiding based on PDE predictor. J. Syst. Softw. 86(10) 2700–2709 (2012)
Li, X., Li, B., Yang, B., Zeng, T.: General framework to histogram-shifting-based reversible data hiding. IEEE Trans. Image Process. 22(6), 2181–2191 (2013)
Dragoi, I.C., Coltuc, D.: Local-prediction-based difference expansion reversible watermarking. IEEE Trans. Image Process. 23(4), 1779–1790 (2014)
Sachnev, V., Kim, H.J., Nam, J., Suresh, S., Shi, Y.Q.: Reversible watermarking algorithm using sorting and prediction. IEEE Trans. Circuits Syst. Video Technol. 19(7), 989–999 (2009)
Lu, T.-C., Chen, C.-M., Lin, M.-C., Huang, Y.-H.: Multiple predictors hiding scheme using asymmetric histograms. Multimed. Tools Appl. 76(3), 3361–3382 (2017)
Lee, C.F., Huang, Y.L.: An efficient image interpolation increasing payload in reversible data hiding. Expert Syst. Appl. 39(8) 6712–6719 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Prabhakaran, A., Pal, R. (2019). Image Pixel Prediction from Neighborhood Pixels Using Multilayer Perceptron. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 817. Springer, Singapore. https://doi.org/10.1007/978-981-13-1595-4_17
Download citation
DOI: https://doi.org/10.1007/978-981-13-1595-4_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1594-7
Online ISBN: 978-981-13-1595-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)