Warped Document Image Restoration Using Shape-from-Shading and Physically-Based Modeling

2007 ◽  
Author(s):  
Li Zhang ◽  
Chew-lim Tan
Keyword(s):  
Image Restoration ◽  
Shape From Shading ◽  
Document Image ◽  
Physically Based Modeling ◽  
Physically Based

Physically Based Modeling of Cold Load Pickup

1981 ◽  
Vol PER-1 (9) ◽  
pp. 27-28 ◽  
Author(s):  
Satoru Ihara ◽  
Fred C. Schweppe
Keyword(s):  
Physically Based Modeling ◽  
Physically Based

Physically based modeling of the mechanical behavior of TRIP steels

2008 ◽  
Vol 1 (S1) ◽  
pp. 57-60 ◽  
Author(s):  
J. Bouquerel ◽  
K. Verbeken ◽  
J. Van Slycken ◽  
P. Verleysen ◽  
Y. Houbaert
Keyword(s):  
Mechanical Behavior ◽  
Physically Based Modeling ◽  
Trip Steels ◽  
Physically Based

Physically based modeling of shear modulus-temperature relationship for thermosets

2015 ◽  
Vol 55 (12) ◽  
pp. 2893-2898 ◽  
Author(s):  
Wei Sun ◽  
Anastasios P. Vassilopoulos ◽  
Thomas Keller
Keyword(s):  
Shear Modulus ◽  
Temperature Relationship ◽  
Physically Based Modeling ◽  
Physically Based

Physically-based modeling: past, present, and future

1989 ◽  
Author(s):  
D. Terzopoulos ◽  
J. Pltt ◽  
A. Barr ◽  
D. Zeltzer ◽  
A. Witkin ◽  
...  
Keyword(s):  
Physically Based Modeling ◽  
Physically Based

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

PDE-Based Image Processing

2012 ◽  
pp. 49-89
Author(s):  
Rajeev Srivastava
Keyword(s):  
Image Processing ◽  
Image Restoration ◽  
Shape From Shading ◽  
Surface Geometry ◽  
Partial Differential ◽  
Basic Concepts ◽  
Processing Techniques ◽  
Image Modelling

This chapter describes the basic concepts of partial differential equations (PDEs) based image modelling and their applications to image restoration. The general basic concepts of partial differential equation (PDE)-based image modelling and processing techniques are discussed for image restoration problems. These techniques can also be used in the design and development of efficient tools for various image processing and vision related tasks such as restoration, enhancement, segmentation, registration, inpainting, shape from shading, 3D reconstruction of objects from multiple views, and many more. As a case study, the topic in consideration is oriented towards image restoration using PDEs formalism since image restoration is considered to be an important pre-processing task for 3D surface geometry, reconstruction, and many other applications. An image may be subjected to various types of noises during its acquisition leading to degraded quality of the image, and hence, the noise must be reduced. The noise may be additive or multiplicative in nature. Here, the PDE-based models for removal of both types of noises are discussed. As examples, some PDE-based schemes have been implemented and their comparative study with other existing techniques has also been presented.

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