User-Assisted Ink-Bleed Reduction

作者：Huang Yi^*; Brown Michael S; Xu Dong

来源：IEEE Transactions on Image Processing, 2010, 19(10): 2646-2658.

DOI：10.1109/TIP.2010.2048971

• Document imaging processing
• dual-layer Markov random field (MRF)
• ink-bleed reduction

This paper presents a novel user-assisted approach to reduce ink-bleed interference found in old manuscripts. The problem is addressed by first having the user provide simple examples of foreground ink, ink-bleed, and the manuscript's background. From this small amount of user-labeled data, likelihoods of each pixel being foreground, ink-bleed, or background are computed and used as the data costs of a dual-layer Markov random field ( MRF) that simultaneously labels all pixels in both the front and back sides of the manuscript. This user-assisted approach produces better results than existing algorithms without the need for extensive parameter tuning or prior assumptions about the ink-bleed intensity characteristics. Our overall application framework is discussed along with details of the features used in the data costs, a comparison between K-nearest neighbor and support vector machine for likelihood estimation, the dual-layer MRF formulation with associated inter- and intra-layer costs, and a comparison of our approach against other ink-bleed reduction algorithms.

• 出版日期2010-10
• 单位南阳理工学院