@inproceedings{scholars4266,
             doi = {10.1109/ICCOINS.2014.6868411},
            year = {2014},
            note = {cited By 2; Conference of 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:112912},
           title = {A comparative study of different image completion techniques},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
         journal = {2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings},
          author = {Zarif, S. and Faye, I. and Dayang, R.},
            isbn = {9781479943913},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938773235&doi=10.1109\%2fICCOINS.2014.6868411&partnerID=40&md5=3038548e3aa92ade8cbe2fd03b88445b},
        keywords = {Arts computing; Restoration; Textures; Video signal processing, Image completion; Image Inpainting; Image retouching; Object removal; Texture synthesis, Image reconstruction},
        abstract = {Image completion is an active and interesting topic in image and video processing. Restoration and retouching of damaged areas in an undetectable form is the objective of image completion techniques. Most of the recently developed video completion methods are based on image completion techniques to restore the damaged frames. With respect to video completion challenges, we compared and evaluated the most recent image completion methods. For a fair comparison, we introduced a new dataset and evaluated four states-of-art- image completion methods on the same hardware. Experimental results are conducted to highlight the strengths and drawbacks of each image completion method. {\^A}{\copyright} 2014 IEEE.}
}