Degraded Document Image Binarization Using Active Contour Model

2021 ◽  
pp. 124-136
Author(s):  
Deepika Gupta ◽  
Soumen Bag
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Document Image ◽  
Image Binarization ◽  
Contour Model ◽  
Document Image Binarization ◽  
Degraded Document

U-Net versus Pix2Pix: a comparative study on degraded document image binarization

2020 ◽  
Vol 29 (06) ◽  
Author(s):  
Arpan Basu ◽  
Riktim Mondal ◽  
Showmik Bhowmik ◽  
Ram Sarkar
Keyword(s):  
Comparative Study ◽  
Document Image ◽  
Image Binarization ◽  
Document Image Binarization ◽  
Degraded Document

Dynamic Selective Edge-Based Integer/Fractional-Order Partial Differential Equation for Degraded Document Image Binarization

2021 ◽  
pp. 2250030
Author(s):  
Uche A. Nnolim
Keyword(s):  
Document Image ◽  
Superior Performance ◽  
Order Partial Differential Equation ◽  
Color Spaces ◽  
Image Binarization ◽  
Partial Differential ◽  
Document Image Binarization ◽  
Edge Based ◽  
Degraded Document ◽  
Bleed Through

Conventional thresholding algorithms have had limited success with degraded document images. Recently, partial differential equations (PDEs) have been applied with good results. However, these are usually tailored to handle relatively few specific distortions. In this study, we combine an edge detection term with a linear binarization source term in a PDE formulation. Additionally, a new proposed diffusivity function further amplifies desired edges. It also suppresses undesired edges that comprise bleed-through effects. Furthermore, we develop the fractional variant of the proposed scheme, which further improves results and provides more flexibility. Moreover, nonlinear color spaces are utilized to improve binarization results for images with color distortion. The proposed scheme removes document image degradation such as bleed-through, stains, smudges, etc., and also restores faded text in the images. Experimental subjective and objective results show consistently superior performance of the proposed approach compared to the state-of-the-art PDE-based models.

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