REMOVAL OF UNWANTED OBJECTS FROM IMAGES USING STATISTICS
Journal Title: ICTACT Journal on Image and Video Processing - Year 2018, Vol 9, Issue 2
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.
Authors and Affiliations
Sourav Kulkarni
Keywords
Related Articles
- EP ID EP522308
- DOI 10.21917/ijivp.2018.0268
- Views 57
- Downloads 0
PERFORMANCE IMPROVEMENT OF IDMA SCHEME USING CHAOTIC MAP INTERLEAVERS FOR FUTURE RADIO COMMUNICATION
In this paper, chaos based interleavers are proposed for the performance improvement of Interleave Division Multiple Access (IDMA henceforth) for future radio communication (FRC) requirements. ‘IDMA’ can be mean as the m...
IMPROVEMENT IN DETECTION ACCURACY OF DIGITAL MAMMOGRAM USING POINT TRANSFORM AND DATA MINING TECHNIQUE
Cancer is one of the dangerous diseases faced by humans. Every one out of 100 women is facing breast cancer. So, to overcome this huge ratio many researches are being carried out. Prevention is better than cure; this pap...
AUTOMATED BRAIN TUMOR SEGMENTATION IN MR IMAGES USING A HIDDEN MARKOV CLASSIFIER FRAMEWORK TRAINED BY SVD-DERIVED FEATURES
Interpreting brain MR images are becoming automated, to such extent that in some cases “all” the diagnostic procedure is done by computers. Therefore, diagnosing the patients is done by a comparably higher accuracy. Comp...
IMAGE SEGMENTATION ANALYSIS BASED ON K-MEANS PSO BY USING THREE DISTANCE MEASURES
The image segmentation is a technique of image processing which divides image into segments. The many proposed image segmentation techniques, k-Means clustering has been one of the basic image segmentation techniques. Th...
SLEEP SCHEDULING MECHANISM IN INTER-CLUSTER COMMUNICATION FOR WSN
Wireless Sensor Network is easy to configure and deployment of network is also simple. It is very useful in gathering the information. As sensor device are small in size and it is operated by the battery which once die i...