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Survey of Existing Techniques of Image Morphing

by Anupama Gautam, Ram Singar Verma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 9
Year of Publication: 2017
Authors: Anupama Gautam, Ram Singar Verma

Anupama Gautam, Ram Singar Verma . Survey of Existing Techniques of Image Morphing. International Journal of Computer Applications. 161, 9 ( Mar 2017), 28-30. DOI=10.5120/ijca2017913293

@article{ 10.5120/ijca2017913293,
author = { Anupama Gautam, Ram Singar Verma },
title = { Survey of Existing Techniques of Image Morphing },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 161 },
number = { 9 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 28-30 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2017913293 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:07:00.931105+05:30
%A Anupama Gautam
%A Ram Singar Verma
%T Survey of Existing Techniques of Image Morphing
%J International Journal of Computer Applications
%@ 0975-8887
%V 161
%N 9
%P 28-30
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

Changing clarifies an empowered change to each other picture. Changing utilizations picture prepare systems, for example, turning and cross dissolving. Basically the term changing is gotten from picture change which plans to change a photo into another photo. In changing there are two pictures in which the principle picture is distorted bit by bit into the second. Oppositely the second picture will distort into first. Amid the time spent mis honing a widely appealing picture is made which is a typical of the central source picture contort to the second picture and the different way. The middle picture might be seen as the key picture that gives an idea how the whole course of action might be made. This paper reviews the photo changing frameworks in light of the examination that has been had the spot in present day time and improvement of this range

  1. BhumikaH.Bhatt ,HitaM.jishi, “Feature based image morphing” ,international journal of computer science and trchnology ,vol.2, issue 3,pp. 46-47,sept. 2011.
  2. UrvashiChushan, Dr.G.PSaroha and DishaTivari, “An implementation of image morphing through mesh morphing algorithm”, journal of computer science, vol.2,issue 7, pp.74-76,jul.2012.
  3. GeorgeWolber, “Image morphing survey”, Department of computer science,city college of new York, usa ,jun.1988.
  4. Senugyoung lee, George Wolberg and Sung Young Shin, “polymorphing an algorithm for morphology among multiple images”, visual computer(1988),springer-verlag,1988,pp.360-370,jul.2008.
  5. Manfred kopp, Werner purgthofer, “Multi resolution image morphing”, Vienna university of technology, institution of computer graphics, Austria, jun.2010.
  6. SrinathSetty,SeatiRallapalli “implementation of morphing algorithm with feature based image metamorphosis”, the university of taxas,Austin,jun.2010.
  7. Anat, M. Bagade, S.N.talbar, “Iamge morphing concept of secure transmission image data contents over internet”, journal of computer science,pp.987-992,jul.2010.
  8. Wolbwerg,g.image morphing a survey,the visual computer 14(8/9),360-372(1988).
  9. Wolberg, image warping,1st edition.IEEE computer society press,Alamitos,Ca,usa(1994).
  10. T.beier and S.neely, feature based image metamorphosis,computer graphic,26(2):35-42,1992.
  11. Lee,S.woberg, G.chwa, K.y.shin, Image metamorphosis with scattered feature constrains.IEEE transaction on visualization and computer graphics 2,337-334(1996).
Index Terms

Computer Science
Information Sciences


Morphing Cross dissolve warping mesh warping feature based morphing.