Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature-oriented image enhancement using shock filters
SIAM Journal on Numerical Analysis
Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Signal and image restoration using shock filters and anisotropic diffusion
SIAM Journal on Numerical Analysis
Numerical Schemes of Shock Filter Models for Image Enhancement and Restoration
Journal of Mathematical Imaging and Vision
Automatic Text Location in Images and Video Frames
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
KCS-new kernel family with compact support in scale space: formulation and impact
IEEE Transactions on Image Processing
A multi-scale framework for adaptive binarization of degraded document images
Pattern Recognition
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In this paper, we propose a generalized shock modelfor the enhancement and restoration of degradedgray-level character images. This model is a quasi-linearhyperbolic partial differential equation withdiscontinuous coefficients, based on a recently-publishedwork. The model was extended to peeling charactershapes with a uniform and centered width of value K.These processing tools may significantly improve thesubsequent stages of the character image recognitiontask. Both models have been tested on a set of gray-levelcharacter images of varying quality from the CEDARdatabase, and experimental results have proved theefficiency and effectiveness of such modeling.