TY - GEN
T1 - Quantification and relative comparison of synthesized texture
AU - De, Chandralekha
AU - Shih, Frank
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Motivated by the desire to quantify/the output of various texture synthesis algorithms, our method uses classical statistical measures to test the quality of outputs for five different categories of texture. We test our approach on three texture synthesis algorithms and present our results here. Of the three different algorithms tested, one is pixel based, the second a patch based approach, and the third a hybrid approach which combines the best features of the pixel and the patch based approaches. Our study clearly shows that none of the three approaches gives the ideal texture against which we compare the synthesized results. However, it does give a fairly decent measure to compare the three and choose one among them as the best.
AB - Motivated by the desire to quantify/the output of various texture synthesis algorithms, our method uses classical statistical measures to test the quality of outputs for five different categories of texture. We test our approach on three texture synthesis algorithms and present our results here. Of the three different algorithms tested, one is pixel based, the second a patch based approach, and the third a hybrid approach which combines the best features of the pixel and the patch based approaches. Our study clearly shows that none of the three approaches gives the ideal texture against which we compare the synthesized results. However, it does give a fairly decent measure to compare the three and choose one among them as the best.
KW - Texture
KW - Tordoial
UR - http://www.scopus.com/inward/record.url?scp=84864961591&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864961591&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84864961591
SN - 9781601321916
T3 - Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
SP - 739
EP - 746
BT - Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
T2 - 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Y2 - 18 July 2011 through 21 July 2011
ER -