publication . Article . Preprint . 2019

Improving the Harmony of the Composite Image by Spatial-Separated Attention Module

Xiaodong Cun; Chi-Man Pun;
Open Access
  • Published: 15 Jul 2019 Journal: IEEE Transactions on Image Processing, volume 29, pages 4,759-4,771 (issn: 1057-7149, eissn: 1941-0042, Copyright policy)
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Comment: Accepted by IEEE Transactions on Image Processing (TIP) 2020
Subjects
free text keywords: Software, Computer Graphics and Computer-Aided Design, Computer vision, Image processing, Artificial intelligence, business.industry, business, Harmonization, Artificial neural network, Semantic information, Composite image filter, Mathematics, Pattern recognition, Harmony (color), Computer Science - Computer Vision and Pattern Recognition
Related Organizations
44 references, page 1 of 3

[1] X. Cun and C.-M. Pun, “Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random Fields.” ECCV Workshops, 2018.

[2] J.-F. Lalonde and A. A. Efros, “Using Color Compatibility for Assessing Image Realism.” ICCV, 2007.

[3] K. Sunkavalli, M. K. Johnson, W. Matusik, and H. Pfister, “Multi-scale image harmonization,” ACM Trans. Graph., vol. 29, no. 4, p. 1, Jul. 2010.

[4] Y.-H. Tsai, X. Shen, Z. L. 0001, K. Sunkavalli, X. Lu, and M.-H. Y. 0001, “Deep Image Harmonization.” CVPR, 2017.

[5] J.-Y. Zhu, P. Kra¨henbu¨hl, E. Shechtman, and A. A. Efros, “Learning a Discriminative Model for the Perception of Realism in Composite Images.” ICCV, 2015. [OpenAIRE]

[6] L. Bondi, S. Lameri, D. Guera, P. Bestagini, E. J. Delp, and S. Tubaro, “Tampering Detection and Localization Through Clustering of CameraBased CNN Features,” in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2017, pp. 1855-1864. [OpenAIRE]

[7] S. Ye, Q. Sun, and E.-C. Chang, “Detecting Digital Image Forgeries by Measuring Inconsistencies of Blocking Artifact.” ICME, 2007.

[8] C.-M. Pun, B. Liu, and X. Yuan, “Multi-scale noise estimation for image splicing forgery detection.” J. Visual Communication and Image Representation, vol. 38, pp. 195-206, 2016.

[9] P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros, “Image-to-Image Translation with Conditional Adversarial Networks,” CVPR, Nov. 2017.

[10] Y.-H. Tsai, X. Shen, Z. L. 0001, K. Sunkavalli, and M.-H. Y. 0001, “Sky is not the limit - semantic-aware sky replacement.” ACM Trans. Graph., vol. 35, no. 4, pp. 1-11, 2016.

[11] H. Wu, S. Zheng, J. Zhang, and K. Huang, “GP-GAN: Towards Realistic High-Resolution Image Blending,” Mar. 2017.

[12] H. Huang, S. Xu, J. Cai, W. Liu, and S. Hu, “Temporally Coherent Video Harmonization Using Adversarial Networks.” CoRR, 2018.

[13] D. Lee, T. Pfister, and M.-H. Yang, “Inserting Videos into Videos,” CVPR, Mar. 2019.

[14] S. Woo, J. Park, J.-Y. Lee, and I. S. Kweon, “CBAM: Convolutional Block Attention Module,” ECCV, 2018.

[15] J. Hu, L. Shen, S. Albanie, G. Sun, and E. Wu, “Squeeze-and-Excitation Networks,” CVPR, Sep. 2018.

44 references, page 1 of 3
Abstract
Comment: Accepted by IEEE Transactions on Image Processing (TIP) 2020
Subjects
free text keywords: Software, Computer Graphics and Computer-Aided Design, Computer vision, Image processing, Artificial intelligence, business.industry, business, Harmonization, Artificial neural network, Semantic information, Composite image filter, Mathematics, Pattern recognition, Harmony (color), Computer Science - Computer Vision and Pattern Recognition
Related Organizations
44 references, page 1 of 3

[1] X. Cun and C.-M. Pun, “Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random Fields.” ECCV Workshops, 2018.

[2] J.-F. Lalonde and A. A. Efros, “Using Color Compatibility for Assessing Image Realism.” ICCV, 2007.

[3] K. Sunkavalli, M. K. Johnson, W. Matusik, and H. Pfister, “Multi-scale image harmonization,” ACM Trans. Graph., vol. 29, no. 4, p. 1, Jul. 2010.

[4] Y.-H. Tsai, X. Shen, Z. L. 0001, K. Sunkavalli, X. Lu, and M.-H. Y. 0001, “Deep Image Harmonization.” CVPR, 2017.

[5] J.-Y. Zhu, P. Kra¨henbu¨hl, E. Shechtman, and A. A. Efros, “Learning a Discriminative Model for the Perception of Realism in Composite Images.” ICCV, 2015. [OpenAIRE]

[6] L. Bondi, S. Lameri, D. Guera, P. Bestagini, E. J. Delp, and S. Tubaro, “Tampering Detection and Localization Through Clustering of CameraBased CNN Features,” in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2017, pp. 1855-1864. [OpenAIRE]

[7] S. Ye, Q. Sun, and E.-C. Chang, “Detecting Digital Image Forgeries by Measuring Inconsistencies of Blocking Artifact.” ICME, 2007.

[8] C.-M. Pun, B. Liu, and X. Yuan, “Multi-scale noise estimation for image splicing forgery detection.” J. Visual Communication and Image Representation, vol. 38, pp. 195-206, 2016.

[9] P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros, “Image-to-Image Translation with Conditional Adversarial Networks,” CVPR, Nov. 2017.

[10] Y.-H. Tsai, X. Shen, Z. L. 0001, K. Sunkavalli, and M.-H. Y. 0001, “Sky is not the limit - semantic-aware sky replacement.” ACM Trans. Graph., vol. 35, no. 4, pp. 1-11, 2016.

[11] H. Wu, S. Zheng, J. Zhang, and K. Huang, “GP-GAN: Towards Realistic High-Resolution Image Blending,” Mar. 2017.

[12] H. Huang, S. Xu, J. Cai, W. Liu, and S. Hu, “Temporally Coherent Video Harmonization Using Adversarial Networks.” CoRR, 2018.

[13] D. Lee, T. Pfister, and M.-H. Yang, “Inserting Videos into Videos,” CVPR, Mar. 2019.

[14] S. Woo, J. Park, J.-Y. Lee, and I. S. Kweon, “CBAM: Convolutional Block Attention Module,” ECCV, 2018.

[15] J. Hu, L. Shen, S. Albanie, G. Sun, and E. Wu, “Squeeze-and-Excitation Networks,” CVPR, Sep. 2018.

44 references, page 1 of 3
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publication . Article . Preprint . 2019

Improving the Harmony of the Composite Image by Spatial-Separated Attention Module

Xiaodong Cun; Chi-Man Pun;