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== Reference ==
Jordan William Miller: Thesis: Accurate and Discernible Photocollages. MS Thesis, Department of Computer Science, University of Saskatchewan, Saskatoon, 2010.

== DOI ==

== Abstract ==
There currently exist several techniques for selecting and combining images from a digital image
library into a single image so that the result meets certain prespecified visual criteria. Image
mosaic methods, first explored by Connors and Trivedi[18], arrange library images according to
some tiling arrangement, often a regular grid, so that the combination of images, when viewed as
a whole, resembles some input target image. Other techniques, such as Autocollage of Rother et
al.[78], seek only to combine images in an interesting and visually pleasing manner, according to
certain composition principles, without attempting to approximate any target image. Each of these
techniques provide a myriad of creative options for artists who wish to combine several levels of
meaning into a single image or who wish to exploit the meaning and symbolism contained in each
of a large set of images through an efficient and easy process.

We first examine the most notable and successful of these methods, and summarize the ad-
vantages and limitations of each. We then formulate a set of goals for an image collage system
that combines the advantages of these methods while addressing and mitigating the drawbacks.
Particularly, we propose a system for creating photocollages that approximate a target image as
an aggregation of smaller images, chosen from a large library, so that interesting visual correspon-
dences between images are exploited. In this way, we allow users to create collages in which multiple
layers of meaning are encoded, with meaningful visual links between each layer. In service of this
goal, we ensure that the images used are as large as possible and are combined in such a way that
boundaries between images are not immediately apparent, as in Autocollage. This has required us
to apply a multiscale approach to searching and comparing images from a large database, which
achieves both speed and accuracy. We also propose a new framework for color post-processing, and
propose novel techniques for decomposing images according to object and texture information.

== Extended Abstract ==

== Bibtex ==

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== Links ==
=== Full Text ===
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Thesis: Accurate and Discernible Photocollages - Versionsgeschichte

Gbachelier: Die Seite wurde neu angelegt: „ == Reference == Jordan William Miller: Thesis: Accurate and Discernible Photocollages. MS Thesis, Department of Computer Science, University of Saskatchewan…“