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 56
- Downloads 0
USAGE OF BIOINFORMATIC DATA FOR REMOTE AUTHENTICATION IN WIRELESS NETWORKS
Authentication is the step to approve the correctness of an attribute of a individual or entity group. Sensitive information might help in making the authentication. Regularly this encrypted information is processed via...
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...
MULTISTAGE CLASSIFICATION OF DIABETIC RETINOPATHY USING FUZZY-NEURAL NETWORK CLASSIFIER
Diabetic Retinopathy (DR) is complicated disorder in human retina which is affected due to an increasing amount of insulin in blood that results in vision impairment. Early detection of DR is used to support the patients...
FINGER-KNUCKLE-PRINT RECOGNITION SYSTEM BASED ON FEATURES-LEVEL FUSION OF REAL AND IMAGINARY IMAGES
In this paper, a new method based on Log Gabor- TPLBP (LGTPLBP) has been proposed. However the Three Patch Local Binary Patterns (TPLBP) technique used in face recognition has been applied in Finger-Knuckle-Print (FKP) r...
REVERSIBLE WATERMARKING APPROACH FOR HEALTH INFORMATION SYSTEM
Health Information System [HIS] are gaining augmented acceptability and wide popularity as exchange of medical information and medical images between the healthcare centres are boosted up, which makes reversible watermar...