vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff0e14290000001867010001000600
Nowadays with cheap digital cameras and the easy availability of camera enabled smartphones,
people have been taking a lot of photos. But many a times, it happens that the photos clicked have some unwanted
objects appearing in the picture that either partially or completely obscure the subject or their presence spoils the
quality of the photo in some or the other way. Modern powerful image editors and in painting algorithms are capable enough
to remove these abnormalities in post-processing to provide a convincing output image. But these often include manual work
which makes them time-consuming. Also, these either require an expert user or some complex algorithms for their functioning.
The algorithms and methods discussed in this paper aim to provide a much simpler approach to solve these problems using basic statistics.
A comparative analysis of their efficiency is also provided.