Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
A Variational Method in Image Recovery
SIAM Journal on Numerical Analysis
Optimal Structuring Elements for the Morphological Pattern Restoration of Binary Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Theoretical Foundations of Spatially-Variant Mathematical Morphology Part I: Binary Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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A novel method is proposed in this paper to restore document images. The proposed method is based on finding the degree of similarity between the tested pixel and its neighbors in different door's sizes. If the tested pixel in every door size has enough similarity with at least two pixels, then the tested pixel is deemed original pixel. The number of two pixels is chosen, to make sure that the tested pixel is a part of an original text or a part in a series of similar pixels. Simulation results indicate that the new method delivers superior performance rapidly and efficiently either in terms of the noise removal or details preservation.