The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Water reflection recognition via minimizing reflection cost based on motion blur invariant moments
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Restoration of motion blurred document images
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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This paper investigates the problem of blurring caused by motion during image capture of text documents. Motion blurring prevents proper optical character recognition of the document text contents. One area ofsuch applications is fo deblur name card images obtained from handheld cameras. In this paper, a complete motion deblurring procedure for document images has been proposed. The method handles both uniform linear motion blur and uniform acceleration motion blur. Experiments on synthetic and real-life blurred images prove the feasibility and reliability of this algorithm provided that the motion is not too irregular. The restoration procedure consumes only small amount of computation time.