Abstract The image quality of seam carving based image resizing method heavily depends on the definition of seam energy function and the result of seam extraction. A seam energy function is proposed to calculate the visual perception importance of each seam, in which an incremental energy term is defined to measure the local image aliasing after seam pixels are deleted, and a maximum pixel energy term is introduced to reduce the seam energy of random texture regions. The experimental results show that compared with several other classical methods, the proposed energy function have more reasonable location, its results are more similar to the original images, and it has fewer aliasing problems in the details of images key objects.
[1] Avidan S, Shamir A. Seam Carving for Content-Aware Image Resizing. ACM Transactions on Graphics, 2007. DOI: 10.1145/1275808.1276390 [2] Rubinstein M, Shamir A, Avidan S. Improved Seam Carving for Video Retargeting. ACM Transactions on Graphics, 2008. DOI:10.1145/1360612.1360615 [3] Wang S F, Lai S H. Compressibility-Aware Media Retargeting with Structure Preserving. IEEE Trans on Image Processing, 2011, 20(3): 855-865 [4] Shi M L, Xu D. A Prominent Object Size Adjustable Method for Content-Aware Image Resizing. Journal of Computer-Aided Design & Computer Graphics, 2011, 23(5): 915-922 (in Chinese) (施美玲,徐 丹.主体大小能控的内容感知图像缩放.计算机辅助设计与图形学学报, 2011, 23(5): 915-922) [5] Wang Y S, Tai C L, Sorkine O, et al. Optimized Scale-and-Stretch for Image Resizing. ACM Transactions on Graphics, 2008. DOI:10.1145/1409060.1409071 [6] Dong W M, Zhou N, Paul J C, et al. Optimized Image Resizing Using Seam Carving and Scaling. ACM Transactions on Graphics, 2009. DOI:10.1145/1618452.1618471 [7] Frankovich M, Wong A. Enhanced Seam Carving via Integration of Energy Gradient Functions. IEEE Signal Processing Letters, 2011, 18(6): 375-378 [8] Achanta R, Susstrunk S. Saliency Detection for Content-Aware Image Resizing // Proc of the 16th IEEE International Conference on Image Processing. Cairo, Egypt, 2009: 1005-1008 [9] Chen J H, Miao L F, Liu X G. Image Re-targeting with Balanced Energy Map and Foreground Constraint. World Wide Web, 2011, 14(3): 281-292 [10] Han J W, Choi K S, Wang T S, et al. Wavelet Based Seam Carving for Content-Aware Image Resizing // Proc of the 16th IEEE International Conference on Image Processing. Cairo, Egypt, 2009: 345-348 [11] Takimoto H, Mitsukura Y, Yamauchi H, et al. Interactive Image Resizing Based on Gradient Intensity and Color Saliency // Proc of the SICE Annual Conference. Akita, Japan, 2012: 1915-1919 [12] Lei L X. Content-Aware Image Resizing Based on Hybrid Energy. Chinese Journal of Computers, 2010, 33(10): 2015-2021 (in Chinese) (雷励星.基于混合能量的内容敏感图像缩放新方法.计算机学报, 2010, 33(10): 2015-2021) [13] Wang H Q, Yang G B, Zhang Z Y, et al. Image and Video Resizing Algorithm Based on Importance Diffusion and Adaptive Scaling. Journal on Communications, 2011, 32(8): 165-170 (in Chinese) (王会千,杨高波,张兆扬,等.基于重要度扩散和自适应采样的图像/视频缩放技术.通信学报, 2011, 32(8): 165-170) [14] Kim J S, Jeong S G, Joo Y H,et al. Content-Aware Image and Video Resizing Based on Frequency Domain Analysis. IEEE Trans on Consumer Electronics, 2011, 57(2): 615-622 [15] Simakov D, Caspi Y, Shechtman E, et al. Summarizing Visual Data Using Bidirectional Similarity // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. Anchorage, USA, 2008: 1-8 [16] Wolf L, Guttmann M, Cohen-Or D. Non-Homogeneous Content-Driven Video-Retargeting // Proc of the 11th IEEE International Conference on Computer Vision. Rio de Janeiro, Brazil, 2007: 1-6
2014, Vol. 27 
