Filtering and Wavelet Transform Algorithm for Old Document Image Restoration

Authors

  • Ridha Sefina Samosir Institute Technology and Business Kalbis

DOI:

https://doi.org/10.21512/comtech.v8i3.3995

Keywords:

old document, image restoration, filtering, wavelet transform

Abstract

The aim of this research was to develop image restoration system using filtering and wavelet transform algorithm. Data collection was through observation and system was developed using prototyping model. Result of this research is a computer based on system to restore image containing noise. Based on the research process, filtering and wavelet transform algorithm can used to restore old document image from interferences (noise).

Dimensions

Plum Analytics

Author Biography

Ridha Sefina Samosir, Institute Technology and Business Kalbis

Information System

References

Feng, Y., Lu, H., & Zeng, X. (2015). Image restoration based on hybrid ant colony algorithm. TELKOMNIKA (Telecommunication Computing Electronics and Control), 13(4), 1298-1304.

Gülcü, Ş., Mahi, M., Baykan, Ö. K., & Kodaz, H. (2016). A parallel cooperative hybrid method based on ant colony optimization and 3-Opt algorithm for solving traveling salesman problem. Soft Computing, 20(11), 1-17.

Hetal, J.V., & Astha, B. (2013). A Review on Otsu image segmentation algorithm. IJARCET (International Journal of Advanced Research in Computer Engineering & Technology), 2(2), 387-389

Hinami, R., Liu, X., Chiba, N., & Satoh, S. I. (2016). Bidirectional extraction and recognition of scene text with layout consistency. International Journal on Document Analysis and Recognition (IJDAR), 19(2), 83-98.

Hou, X., Yang, J., Jiang, G., & Qian, X. (2013). Complex SAR image compression based on directional lifting wavelet transform with high clustering capability. IEEE Transactions on Geoscience and Remote Sensing, 51(1), 527-538.

Huiyu, Z., Jiahua, W., & Jianguo. Z (2010). Digital image processing: Part 1. Retrieved from www.bookboon.com

Konidaris, T., Kesidis, A. L., & Gatos, B. (2016). A segmentation-free word spotting method for historical printed documents. Pattern Analysis and Applications, 19(4), 963-976.

Rafael, C. G., & Richard, E. W. (2008). Digital image processing. USA: Addison-Wesley.

Ren, J., Lu, H., & Zeng, X. (2015). Image Denoising Based on K-means Singular Value Decomposition. TELKOMNIKA (Telecommunication Computing Electronics and Control), 13(4), 1312-1318.

Trieu, D. B. K., & Maruyama, T. (2015). Real-time color image segmentation based on mean shift algorithm using an FPGA. Journal of Real-Time Image Processing, 10(2), 345-356.

Wang, X. (2010). Recovery of blurring scanned manuscript image based on wavelets transform algorithm. In 3rd International Congress on Image and Signal Processing (CISP) (pp. 844-847). IEEE.

Downloads

Published

2017-09-30

Issue

Section

Articles
Abstract 497  .
PDF downloaded 320  .