In this paper

an improved fully-automatic image mosaic algorithm is presented.Firstly

phase correlation is used to sort the unordered image sequence and roughly compute the translation offset between adjacent images

which speeds up corner match procedure and improves matching stability as well.Secondly

RANSAC algorithm is used to eliminate outliers to ensure effectiveness of the matched corner pairs.Then

Singular Value Decomposition-Least Square(SVDLS) method and Levenberg-Marquardt optimization are used to robustly determine the 8 parameters transform model

which aims to reduce the registration error and also improve the stability when handling very small number of matched corners.At the last of the algorithm

a multi-band blending technique is used to generate the final panorama.Invalid parameters are verified by the translation offset to make Levenberg-Marquardt optimization more successful and robust.The experimental results show that the proposed image mosaic algorithm exceeds existing ones at matching speed

stability

and it has less blur or ghost effect after blending

especially when there are noise

moving objects

repeated texture and small overlaps presented in the images.