A Combined Method for Document Image Enhancement Using Image Smoothing, Gray-Level Reduction and Thresholding

Author:

Paikrao Prashant,Doye Dharmpal,Bhalerao Milind,Vaidya Madhav

Publisher

Springer Nature Switzerland

Reference21 articles.

1. Hu, L., Hu, Z., Bauer, P., Harris, T.J., Allebach, J.P.: Document image quality assessment with relaying reference to determine minimum readable resolution for compression. In Electronic Imaging, pp. 323–331 (2020)

2. Yamaguchi, Y., Ichiro, Y., Kondo, Y.: Proposal of edge-preserving, image noise reduction filter for using l2-norm. Eng. Proc. 11(1), 27 (2021)

3. Arulpandy, P., Pricilla, M.T.: Speckle noise reduction and image segmentation based on a modified mean filter. Comput. Assis. Methods Eng. Sci. 27(4), 221–239 (2020)

4. Chen, L.: Fu, G: Structure-preserving image smoothing with semantic cues. Vis. Comput. 36(10), 2017–2027 (2020)

5. Mustafa, W.A., Mydin, M., Abdul Kader, M.: Binarization of document image using optimum threshold modification. J. Phys.: Conf. Ser. 1019(1), 12022 (2018)

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