Performance of autofocus judgements in different quantity of information series images
YAO Song,CAO Dan-hua,WU Yu-bin ( Department of Optoelectronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China )
This paper describes three different autofocus judgements based on wavelet transform, Laplacian operator and SPSMD.Then analyse the characteristic of these three judgements using the digital simulation technique. We used three group images which are changed from simple to complicated graphics, and compared the effection of these different autofocus judgements on the different group images . At last, the conclusion is given that the judgement based on wavelet transform has the best robust performance in different series images which contain different quantity of information.
【CateGory Index】： TN911.73