• DocumentCode
    261123
  • Title

    Image inpainting techniques for removal of object

  • Author

    Mahajan, Mahesh ; Bhanodia, Praveen

  • Author_Institution
    CSE, Patel Coll. of Sci. & Tech., Indore, India
  • fYear
    2014
  • fDate
    27-28 Feb. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In today´s world peoples are clicking lots of pictures and also trying to preserve there past pictures, but as the time passes that pictures got damaged. To restore that damages like scratches, overlaid text or graphics can be remove by using technique called Image Inpainting. Images Inpainting is a set of techniques for making undetectable modifications to images. Applications of image inpainting range from the removal of an object from a scene to the retouching of a damaged painting or photograph. For photography and film, inpainting can be used to reverse deterioration (e.g., cracks in photographs, scratches), or to add or remove elements (e.g., stamped dates, “red-eye,”) from photographs. In each case, the goal is to fill the damaged portion of the image in a visually plausible way that is to produce a modified image in which the inpainted region is merged into the image so seamlessly that a typical viewer is not aware that any modification has occurred and the new image have close ressemblance to the original image and we are not able to differentiate between original image and the inpainted image. In this paper we are trying to study various technique of image inpainting.
  • Keywords
    image restoration; damaged painting retouching; damaged photograph retouching; image inpainting techniques; object removal; Algorithm design and analysis; Educational institutions; Filling; Image reconstruction; Image restoration; Noise; Transforms; Image Inpainting; Rebuilding; promising pixel; unwanted objects;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2014 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-3835-3
  • Type

    conf

  • DOI
    10.1109/ICICES.2014.7034008
  • Filename
    7034008