Abstract
In this paper, a local correlation and directive contrast-based multi-focus image fusion technique is proposed. The proposed fusion method is conducted into two parts. In first part, Discrete Wavelet Packet Transform (DWPT) is performed over the source images, by which low and high frequency coefficients are obtained. In second part, these transformed coefficients are fused using local correlation and directive contrast-based approach. The performance of the proposed method is tested on several pairs of multi-focus images and compared with few existing methods. The experimental results demonstrate that the proposed method provides better results than other existing methods.
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Sonam, Kumar, M. (2017). A Local Correlation and Directive Contrast Based Image Fusion. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-2104-6_38
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DOI: https://doi.org/10.1007/978-981-10-2104-6_38
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