scholarly journals FAIR: A Fast Algorithm for Document Image Restoration

2013 ◽  
Vol 35 (8) ◽  
pp. 2039-2048 ◽  
Author(s):  
Thibault Lelore ◽  
Frederic Bouchara
Keyword(s):  
Image Restoration ◽  
Fast Algorithm ◽  
Document Image

Faxed document image restoration method based on local pixel patterns

1998 ◽  
Author(s):  
Teruo Akiyama ◽  
Nobuo Miyamoto ◽  
Masami Oguro ◽  
Kenji Ogura
Keyword(s):  
Image Restoration ◽  
Document Image ◽  
Restoration Method

Document image restoration using binary morphological filters

1996 ◽  
Author(s):  
Jisheng Liang ◽  
Robert M. Haralick ◽  
Ihsin T. Phillips
Keyword(s):  
Image Restoration ◽  
Document Image ◽  
Morphological Filters

Fast Restoration Algorithm for Rotational Motion Blurred Images

2011 ◽  
Vol 267 ◽  
pp. 969-973
Author(s):  
Jian Yang Zhou ◽  
Yin Tao Yang ◽  
Yi Liang Wu
Keyword(s):  
Image Restoration ◽  
Rotational Motion ◽  
Fast Algorithm ◽  
Degradation Model ◽  
Experimental Platform ◽  
Restoration Algorithm ◽  
Blurred Image ◽  
Comparison And Analysis ◽  
Blurred Images ◽  
Image Degradation Model

This paper first introduces the history and research status of motion-blurred image restoration, and then establishes a rotating image degradation model. we present a fast algorithm for real-time hardware restoration of rotating motion blurred images, the algorithm is simulated and experimental platform is built for the actual verification. Through comparison and analysis of the recovery results, we verify the accuracy of the algorithm, and it shows that this rotational motion blurred image restoration algorithm can receive satisfactory results.

scholarly journals Filtering and Wavelet Transform Algorithm for Old Document Image Restoration

2017 ◽  
Vol 8 (3) ◽  
pp. 177 ◽  
Author(s):  
Ridha Sefina Samosir
Keyword(s):  
Wavelet Transform ◽  
Data Collection ◽  
Image Restoration ◽  
Research Process ◽  
Document Image ◽  
Computer Based

The aim of this research was to develop image restoration system using filtering and wavelet transform algorithm. Data collection was through observation and system was developed using prototyping model. Result of this research is a computer based on system to restore image containing noise. Based on the research process, filtering and wavelet transform algorithm can used to restore old document image from interferences (noise).

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