ICTACT Journal on Image and Video Processing

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Removal of Unwanted Objects from Images using Statistics


Affiliations
1 Department of Computer Engineering, Pune Institute of Computer Technology, India
     

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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.

Keywords

Image Processing, Statistics, Image Stacking.
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  • Removal of Unwanted Objects from Images using Statistics

Abstract Views: 229  |  PDF Views: 1

Authors

Sourav Kulkarni
Department of Computer Engineering, Pune Institute of Computer Technology, India

Abstract


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.

Keywords


Image Processing, Statistics, Image Stacking.

References