DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-2 ( Feb, 2016 ) | |||||||||
Paper Title |
Image Inpainting Of Digital Images Using Joint Statistical Modeling Technique | |||||||||
Author Name |
Seema Baghla, Mandeep Singh | |||||||||
Affilition |
Assistant Professor (Computer Engg.), M.Tech. Student (Computer Engineering) Yadavindra College of Engineering, Punjabi University Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab | |||||||||
Pages |
61-64 | |||||||||
Abstract |
Image Inpainting has wide applications in image and photo restoration, text removal, special effects in movies, digital zoom-in, and edge-based image compression and coding etc. It is a very active field of research. The objective is to improve the general quality of an image or remove defects. Different methods from linear algebra and partial differential equations (PDEs) are used for this purpose.In present work, enhanced approach based on JSM (Joint statistical Modeling) is used to inpaint the digital image. Various functions like Image denoising, deblurring and text removal are also performed. Keywords— Image inpainting, Image restoration, JSM inpainting, Text removal, Noise removal. | |||||||||
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