@inproceedings{5d229097bec24ae18aacf5afc0855b01,
title = "Image composition with blurring effect from depth of field",
abstract = "This paper describes a new framework for image composition according to the blurring effect bred by changing depth of field from the target images. The framework involves two stages: a learning phase, in which the target image, with one part of the image purported to be {"}further{"} and another part {"}near{"}, is presented as {"}learning data{"} and the learned filter is applied to some objects in source image; and a composition phase, in which those blurred objects of source image are composed into the {"}further{"} part of the target image. The framework is based on a simple multiscale Gaussian filter, inspired primarily by recent results in texture synthesis and image editing.",
keywords = "Gaussian filter, Image editing, Markov random fields, Texture synthesis, Texture transfer",
author = "Liu Hai and Ma Lizhuang",
year = "2007",
language = "英语",
isbn = "3540748725",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "98--103",
booktitle = "Entertainment Computing - ICEC 2007 - 6th International Conference, Proceedings",
note = "6th International Conference of Entertainment Computing, ICEC 2007 ; Conference date: 15-09-2007 Through 17-09-2007",
}