Adaptive Fusion of Visible and Near-Infrared Images using Detail Extraction based on Guided Image Filter
-
- KURIHARA Kohei
- Mitsubishi Electric Corporation, Advanced Technology R&D Center
-
- TOYODA Yoshitaka
- Mitsubishi Electric Corporation, Advanced Technology R&D Center
-
- SUZUKI Daisuke
- Mitsubishi Electric Corporation, Advanced Technology R&D Center
Bibliographic Information
- Other Title
-
- 自然画像の視認性向上を目的としたディテール抽出に基づく可視画像と近赤外画像の適応的統合
Abstract
We propose a novel image fusion approach for infrared (IR) and visible (VIS) images. The proposed approach can be applied for many application (e.x. denoise, dehaze) in a single framework. Detail components are extracted from VIS and IR images. Before synthesizing them, these components are enhance/inhibit depend on a scene.
Journal
-
- ITE Technical Report
-
ITE Technical Report 41.5 (0), 169-170, 2017
The Institute of Image Information and Television Engineers
- Tweet
Details 詳細情報について
-
- CRID
- 1390287993312711296
-
- NII Article ID
- 130008037203
-
- ISSN
- 24241970
- 13426893
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed