期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2017
卷号：6
期号：6
页码：16-21
出版社：International Journal of Soft Computing & Engineering
摘要：A historical document that have been affected by degradation and that are of poor image quality is difficult and continues to be a focus of research in the field of image processing. So, there is the need of image restoration techniques that can improve the visibility for the human eye to directly read these documents. Document image restoration aims to improve the document image quality by reducing the noise level, which not only enhance human perception, but also facilitate the subsequent automated image processing. In this research work, we are using hybrid approach of swarm intelligence based Intelligent Water Drops Algorithm (IWD) and Sauvola Binarisation method. IWD is a nature inspired optimization algorithm that work as per the moving water droplets with soil particle obstacles in their path. Sauvola’s algorithm is an improvement of Niblack’s method which is based on the local mean and standard deviation of the image. Sauvola’s approach computes the threshold value by using the dynamic range of gray-value standard deviation. The obtained results are compared with the Sauvola, Niblack, Wolf, M1-S, M2-N, M3-W algorithms. The results are also evaluated in parametric form with PSNR and F-Measure values.
关键词：Intelligent Water Drops Algorithm; Niblack Method; Sauvola Method; Image Enhancement; Ancient Documents
