Currently, i am doing a project related to image processing. Before any thing is done. The blurry images should be dropped indeed. However, i found some of images are really interesting which are "shallow depth of field". I don't want my blur detection algorithm( variance of Laplacian ) dropping all these nice images at all. i have done a observation with a training set to get a new threshold. It can recognize part of the images i want. Are there any Algorithm can detect small depth images with higher accuracy.If any of you have an idea(it is better if related to opencv) please share to me. Thanks indeed.
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I presume you mean *"shallow depth of field"*? – Mark Setchell Jan 08 '16 at 13:54
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This is quite relevant... http://stackoverflow.com/questions/7765810/is-there-a-way-to-detect-if-an-image-is-blurry – Mark Setchell Jan 09 '16 at 08:41
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Blurry detection is done in the previous week. Now my goal is to find out all image with small depth of field. – hychanbb Jan 09 '16 at 09:14