2012
DOI: 10.1007/s11042-012-1065-5
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A study on stackable mosaic generation for mobile devices

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Cited by 17 publications
(11 citation statements)
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“…These approaches include color transfer [4,21,23,24] which is a color correction method for borrowing one images color characteristics from another, photomosaic [13][14][15]22] which represents a target image by assembling given photographic examples, collage [12]. In this study, we concentrate mainly on the style transfer approach.…”
Section: Related Workmentioning
confidence: 99%
“…These approaches include color transfer [4,21,23,24] which is a color correction method for borrowing one images color characteristics from another, photomosaic [13][14][15]22] which represents a target image by assembling given photographic examples, collage [12]. In this study, we concentrate mainly on the style transfer approach.…”
Section: Related Workmentioning
confidence: 99%
“…Kang et al . [KSRY13] speed up the basic method based on per‐pixel distance calculation [Sil97, Tra99] by first downsampling the tiles/cells to n×n thumbnails, where n is a small number (3 or 4). The computation time needed to find the best matching tile is significantly reduced.…”
Section: Related Workmentioning
confidence: 99%
“…In our preliminary experiments, we observed that the approach of Kang et al . [KSRY13] provides the best trade‐off between image mosaic quality and speed, thus, we use it as a baseline for comparison. The aforementioned approaches require the search of the whole codebook for the best matching tile, and this demands large computational resources (the search complexity is linear in the size of the codebook).…”
Section: Related Workmentioning
confidence: 99%
“…This algorithm automatically generates painterly images using a brush-stroke texture database and a photomosaic method [13,10,9]. However, users cannot participate in the painting process with [12]'s method, apart from choosing the input image and a limited number of rendering settings.…”
Section: Proposed Algorithmmentioning
confidence: 99%