- 期刊
An Efficient Adaptive Image Enhancement Method in Wavelet Domain for Handwritten Document
並列摘要
In this study, a new method, called adaptive image enhancement (AIE), is used to enhance handwritten document images, such as historical documents. An AIE method is proposed to denoise handwritten documents in a wavelet domain, which differs from others methods in two aspects: Firstly, modified contrast limited adaptive histogram equalization (MCLAHE) is used to equalize the contrast of an image by cutting the histogram at some threshold, and then equalization is used. Secondly, the image is improved by using directional discrete wavelet transform (D^2WT) enhancing for foreground and interfering strokes, respectively. As a result, this method not only removes the interfering strokes or visible watermarks in the background information, but also significantly increases the readability of handwritten document images.
延伸閱讀
- 蔡忠峻（2016）。Evaluation on Deep Neural Layers in Hareware Implementation for Handwritten Pattern Recognition〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201600798
- Wu, X., Fan, J., Xu, J., & Wang, Y. (2015). Wavelet Domain Multidictionary Learning for Single Image Super-Resolution. Journal of Electrical and Computer Engineering, 2015(), 382-393. https://doi.org/10.1155/2015/526508
- Meng, L., Yin, S., Zhao, C., Li, H., & Sun, Y. (2020). An Improved Image Encryption Algorithm Based on Chaotic Mapping and Discrete Wavelet Transform Domain. International Journal of Network Security, 22(1), 155-160. https://doi.org/10.6633/IJNS.202001_22(1).17
- Kumsawat, P., Attakitmongcol, K., & Srikaew, A. (2015). An Intelligent Optimization Approach for Digital Image Watermarking in the Multi-Wavelet Domain. International Journal of Business and Information, 10(1), 24-62. https://doi.org/10.6702/ijbi.2015.10.1.2
- 陳至明（2001）。A Robust Image Watermarking Method Based on Wavelet Transform and Human Visual System〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu200100344