Laser & Optoelectronics Progress, Volume. 58, Issue 24, 2410002(2021)
Image Aesthetics Retargeting Algorith Based on Multi-Level Attention Fusion
Fig. 2. Fusion of importance maps. (a) Original images; (b) aesthetic feature maps; (c) Esal; (d) fusions of Egrad ; (e) importance maps
Fig. 4. Seven retargeting results for different type of images. (a) With a single large subject; (b) with a complex background; (c) with multiple subjects; (d) with complex subject objects
Fig. 5. Results of ablation experiments. (a) Original images; (b) important map + gradient and straight-line map; (c) aesthetic feature map + important map + gradient and straight-line map
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Ming Yu, Jijun Zhang, Yingchun Guo, Meng Zhang, Dan Wang. Image Aesthetics Retargeting Algorith Based on Multi-Level Attention Fusion[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2410002
Category: Image Processing
Received: Dec. 17, 2020
Accepted: Feb. 12, 2021
Published Online: Nov. 24, 2021
The Author Email: Yingchun Guo (gyc@scse.hebut.edu.cn)