Huiting Fu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Huiting Fu has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Aili Wang
Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin 150080, China
1 shared publication - Bo Wang
School of Measurement-Control Technology and Communications Engineering, Harbin University of Science and Technology, Harbin 150080, China
1 shared publication - Hongyang Si
School of Measurement-Control Technology and Communications Engineering, Harbin University of Science and Technology, Harbin 150080, China
1 shared publication - Huili Jiang
School of Measurement-Control Technology and Communications Engineering, Harbin University of Science and Technology, Harbin 150080, China
1 shared publication - Minjuan Zhan
School of Measurement-Control Technology and Communications Engineering, Harbin University of Science and Technology, Harbin 150080, China
1 shared publication - Ruao Gao
School of Measurement-Control Technology and Communications Engineering, Harbin University of Science and Technology, Harbin 150080, China
1 shared publication
Latest Publications
- Open Access
- 17 July 2023
- Published by MDPI AG in Electronics
- Vol. 12 (14) , 3096
Content-Aware Image Resizing Technology Based on Composition Detection and Composition Rules
A novel content-aware image resizing mechanism based on composition detection and composition rules is proposed to address the lack of esthetic perception in current content-aware resizing algorithms. A composition detection module is introduced for the detection of the composition of the input image types in the proposed algorithm. According to the classification results, the corresponding composition rules in computational esthetics are selected. Finally, the algorithm performs the operations of seam carving using the corresponding esthetic rules. The resized image not only protects the important content of the image, but also meets the composition rules to optimize the overall visual effect of the image. The simulation results show that the proposed algorithm achieves a better visual effect. Compared with the existing algorithms, the proposed algorithm not only effectively protects important image content, but also protects important structures and improves the overall beauty of the image.
- 17 July 2023
- Published by MDPI AG in Electronics
- Vol. 12 (14) , 3096
Open AccessContent-Aware Image Resizing Technology Based on Composition Detection and Composition Rules
A novel content-aware image resizing mechanism based on composition detection and composition rules is proposed to address the lack of esthetic perception in current content-aware resizing algorithms. A composition detection module is introduced for the detection of the composition of the input image types in the proposed algorithm. According to the classification results, the corresponding composition rules in computational esthetics are selected. Finally, the algorithm performs the operations of seam carving using the corresponding esthetic rules. The resized image not only protects the important content of the image, but also meets the composition rules to optimize the overall visual effect of the image. The simulation results show that the proposed algorithm achieves a better visual effect. Compared with the existing algorithms, the proposed algorithm not only effectively protects important image content, but also protects important structures and improves the overall beauty of the image.