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Ghost removal method for image morphing using co-occurrence frequency image
- Source :
- FCV
- Publication Year :
- 2013
- Publisher :
- IEEE, 2013.
-
Abstract
- Many image morphing methods require feature points meaning correspondence points between the input images by the hand. If user does not add feature points in detail, a noise called “ghost” appears in the output image. We propose a ghost removal method which extracts detailed feature points to modify a texture correspondence. The proposed method can remove the ghost at the textures having different gray values between the images.
- Subjects :
- business.industry
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image processing
Pattern recognition
GeneralLiterature_MISCELLANEOUS
High Energy Physics::Theory
Morphing
Image texture
Computer Science::Computer Vision and Pattern Recognition
Computer vision
Artificial intelligence
Image denoising
business
Image restoration
ComputingMethodologies_COMPUTERGRAPHICS
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision
- Accession number :
- edsair.doi...........b177c74e8d474c3dc084e1fd2d12b173