For over a decade, image mosaicing techniques have been widely used in various applications e.g., generating a wide field-of-view image, 2D optical maps in remote sensing or medical imaging. In general, image mosaicing combines a sequence of images into a single image referred to as a mosaic image. Its process is roughly divided into the iterative image registration and blending. Unfortunately, the computational cost of iterative image registration increases exponentially given a large number of images. As a result, mosaicing for a large scale scene is often prohibitive for real-time applications. In this paper, we introduce an effective visual criterion to reduce the number of image mosaicing iterations while retaining the visual quality of the mosaic. We analyze the change in invariant color histograms of the mosaic image over iterations and use it to determine a termination condition. Based on various experimental evaluations using four different datasets, we significantly improve the computational efficiency of mosaicing algorithm.
|Title of host publication||Advances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings|
|Editors||Yo-Sung Ho, Yong Man Ro, Junmo Kim, Fei Wu, Jitao Sang|
|Number of pages||10|
|Publication status||Published - 2015|
|Event||16th Pacific-Rim Conference on Multimedia, PCM 2015 - Gwangju, Korea, Republic of|
Duration: 2015 Sep 16 → 2015 Sep 18
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||16th Pacific-Rim Conference on Multimedia, PCM 2015|
|Country||Korea, Republic of|
|Period||15/9/16 → 15/9/18|
Bibliographical notePublisher Copyright:
© Springer International Publishing Switzerland 2015.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)