Manifesting a Blackboard Image Restore and Mosaic using Multifeature Registration Algorithm
Keywords:
document image mosaicing; blackboard image mosaicing; image restoration; SIFT; Feature based image registrationAbstract
— This paper focuses on stitching the Images of the Document[2] i.e. Document Image
Mosaicing. The Image mosaicing is done in order to create a “larger field of view” as opposed to
small “field of view” obtained by the camera lens. Also it improves the resolution of the picture.
Document[3] image mosaicing (we take blackboard picture as a document here) is the mosaicing of
documents (2D or planar mosaicing) so that they could be viewed together without any breaks in
them, for example say a complicated derivation that occupied two to three pages of a pdf or paper
can be fitted into one scene and viewed together for easier grasping of the idea. Also it could be
mosaicing of the blackboard, the large theories or mathematical proofs can be mosaiced into one
picture so that we have the complete idea of the theory or proof in ONLY ONE PAPER to be viewed
together by readers. Also in this paper we demonstrate certain necessary restoration methods before
we mosaic the blackboard image.
