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Wavelet-content-adaptive BP neural network-based deinterlacing algorithm

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Abstract

In this paper, we introduce an intra-field deinterlacing algorithm based on a wavelet-content-adaptive back propagation (BP) neural network (BP-NN) using pixel classification. During interpolation, there is an issue of different image features having completely different properties, such as smooth regions, edges, and textures. We use the wavelet transform to divide the images into several pieces with different properties. Then, each piece has similar image features and each one is assigned to one neural network. The BP-NN-based deinterlacing algorithm can reduce blurring by recovering the missing pixels via a learning process. Compared with existing deinterlacing algorithms, the proposed algorithm improves the peak signal-to-noise ratio and visual quality while maintaining high efficiency.

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Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and future Planning (NRF-2015R1A2A2A01006004).

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Authors and Affiliations

  1. Department of Electronics and Computer Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 133-791, Republic of Korea

    Jin Wang & Jechang Jeong

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  1. Jin Wang
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  2. Jechang Jeong
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Correspondence to Jin Wang.

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We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled, “Wavelet-content-adaptive BP neural network-based deinterlacing algorithm”.

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Communicated by M. Anisetti.

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Wang, J., Jeong, J. Wavelet-content-adaptive BP neural network-based deinterlacing algorithm. Soft Comput 22, 1595–1601 (2018). https://doi.org/10.1007/s00500-017-2968-x

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  • DOI: https://doi.org/10.1007/s00500-017-2968-x

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