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For super resolution image reconstruction problem in the traditional document , based on bilateral total varia tion regularization super-resolution algorithm , a document image super resolution algorithm based on improved BTV was proposed. By introducing a new regularization term , which is the direction of the stroke width , the algorithm is adaptive to the local width and the local direction of the character strokes. Then , t 由he proposed a 址19o 臼rith田I虹m丑1 can make t 由he local s 剖troke width of t 由he out叩pu 川t im 丑la 唔ge close to t 由he local str mt优er 叩pola 川t1ωon 几1. Thi臼s inf扣orn 丑m丑lation is c ∞ompressed into the directional total variation regularization term based on the width of stroke. By linear combination of minimization regularization and data fidelity ten丑, the high-resolution images are reconstructed. Compared with the related document image super resolution method , the proposed method has been improved in the visual image quality and character recognition accuracy.

基于定向双边全变差正则化的文档图像超分辨率算法研究 (Research of Document Image Super Resolution Algorithm Based on Directional Bilateral Total Variation Regularization).