Misaligned Image Integration With Local Linear Model

書誌事項

公開日
2016-05
資源種別
journal article
権利情報
  • https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html
DOI
  • 10.1109/tip.2016.2535329
公開者
Institute of Electrical and Electronics Engineers (IEEE)

この論文をさがす

説明

We present a new image integration technique for a flash and long-exposure image pair to capture a dark scene without incurring blurring or noisy artifacts. Most existing methods require well-aligned images for the integration, which is often a burdensome restriction in practical use. We address this issue by locally transferring the colors of the flash images using a small fraction of the corresponding pixels in the long-exposure images. We formulate the image integration as a convex optimization problem with the local linear model. The proposed method makes it possible to integrate the color of the long-exposure image with the detail of the flash image without causing any harmful effects to its contrast, where we do not need perfect alignment between the images by virtue of our new integration principle. We show that our method successfully outperforms the state of the art in the image integration and reference-based color transfer for challenging misaligned data sets.

収録刊行物

被引用文献 (2)*注記

もっと見る

参考文献 (42)*注記

もっと見る

関連プロジェクト

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ