Journal Paper

Paper Title - Image Inpainting Of Digital Images Using Joint Statistical Modeling Technique


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.


Author - Seema Baghla, Mandeep Singh

Citation - Seema Baghla   ,   Mandeep Singh   ,   Seema Baghla, Mandeep Singh " Image Inpainting Of Digital Images Using Joint Statistical Modeling Technique " , International Journal of Industrial Electronics and Electrical Engineering , Volume-4,Issue-2  ( Feb, 2016 )

Indexed - Google Scholar


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| Published on 2016-03-11