IEEE Trans Image Process - User-assisted ink-bleed reduction.

Tópicos

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{ cost(1906) reduc(1198) effect(832) }
{ featur(3375) classif(2383) classifi(1994) }
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Resumo

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.

Resumo Limpo

paper present novel userassist approach reduc inkble interfer found old manuscript problem address first user provid simpl exampl foreground ink inkble manuscript background small amount userlabel data likelihood pixel foreground inkble background comput use data cost duallay markov random field mrf simultan label pixel front back side manuscript userassist approach produc better result exist algorithm without need extens paramet tune prior assumpt inkble intens characterist overal applic framework discuss along detail featur use data cost comparison knearest neighbor support vector machin likelihood estim duallay mrf formul associ inter intralay cost comparison approach inkble reduct algorithm

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