Current Result Document :
| 한글제목(Korean Title) |
TSDnet: 적외선과 가시광선 이미지 융합을 위한 규모-3 밀도망 |
| 영문제목(English Title) |
TSDnet: Three-scale Dense Network for Infrared and Visible Image Fusion |
| 저자(Author) |
장영매
이효종
Yingmei Zhang
Hyo Jong Lee
|
| 원문수록처(Citation) |
VOL 29 NO. 02 PP. 0656 ~ 0658 (2022. 11) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
The purpose of infrared and visible image fusion is to integrate images of different modes with different details into a result image with rich information, which is convenient for high-level computer vision task. Considering many deep networks only work in a single scale, this paper proposes a novel image fusion based on three-scale dense network to preserve the content and key target features from the input images in the fused image. It comprises an encoder, a three-scale block, a fused strategy and a decoder, which can capture incredibly rich background details and prominent target details. The encoder is used to extract three-scale dense features from the source images for the initial image fusion. Then, a fusion strategy called l1-norm to fuse features of different scales. Finally, the fused image is reconstructed by decoding network. Compared with the existing methods, the proposed method can achieve state-of-the-art fusion performance in subjective observation. |
| 키워드(Keyword) |
|
| 파일첨부 |
PDF 다운로드
|
