Authors:
Adib Akl
and
Charles Yaacoub
Affiliation:
Holy Spirit University of Kaslik (USEK), Lebanon
Keyword(s):
Image Inpainting, Orientation, Second-moment Matrix, Exemplar.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Cardiovascular Imaging and Cardiography
;
Cardiovascular Technologies
;
Health Engineering and Technology Applications
;
Knowledge Acquisition and Representation
;
Pattern Recognition
;
Signal Processing
;
Software Engineering
;
Theory and Methods
Abstract:
Image inpainting is an active area of study in computer graphics, computer vision and image processing.
Different image inpainting algorithms have been recently proposed. Most of them have shown their
efficiency with different image types. However, failure cases still exist, especially when dealing with local
image variations. This paper presents an image inpainting approach based on structure layer modeling,
where this latter is represented by the second-moment matrix, also known as the structure tensor. The
structure layer of the image is first inpainted using the non-parametric synthesis algorithm of Wei and
Levoy, then the inpainted field of second-moment matrices is used to constrain the inpainting of the image
itself. Results show that using the structural information, relevant local patterns can be better inpainted
comparing to the standard intensity-based approach.