TY - JOUR
AU - Koo, Bon-Ki
AB - We propose a real-time approach to automatically generate photomosaic videos from a set of optimized images by taking advantage of CUDA GPU acceleration. Our approach divides an input image into smaller cells—usually rectangular cells—and replaces each cell with a small image of an appropriate color pattern. Photomosaics require a large set of tile images with a variety of patterns to create high-quality digital mosaic images. Because a large database of images requires longer processing time and larger storage space for searching patterns from the database, this requirement causes problems in developing a real-time system or mobile applications that have limited resources. This paper deals with a real-time video photomosaics using genetic feature selection method for building an optimized image set and taking advantage of CUDA to accelerate pattern searching that minimizes computation cost.
TI - Real-time video photomosaics with optimized image set and GPU
JF - Journal of Real-Time Image Processing
DO - 10.1007/s11554-013-0384-8
DA - 2013-12-13
UR - https://www.deepdyve.com/lp/springer-journals/real-time-video-photomosaics-with-optimized-image-set-and-gpu-ElD0AqiT5S
SP - 569
EP - 578
VL - 9
IS - 3
DP - DeepDyve
ER -