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Final project for DIP course, energy-map improvement for Seam Carving algorithm by taking color information into consideration.

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Content-Aware-Image-Resizing

Final project for course Digital Image Processing

Energy-map improvement for Seam Carving algorithm by taking color information into consideration.

For more information, please see Final report.pdf and Slides.pptx.

Our Result

Usage

Execute with:

$ python main.py

To adjust input image and other parameters, edit main.py and change the parameters in line32-35.

Pipeline

References

  1. Avidan, S. and Ariel Shamir. “Seam carving for content-aware image resizing.” SIGGRAPH 2007 (2007).
  2. Rubinstein, Michael et al. “Improved seam carving for video retargeting.” SIGGRAPH 2008 (2008).
  3. Wang, Yu-Shuen et al. “Optimized scale-and-stretch for image resizing.” SIGGRAPH 2008 (2008).
  4. Achanta, R. and S. Süsstrunk. “Saliency detection for content-aware image resizing.” 2009 16th IEEE International Conference on Image Processing (ICIP) (2009): 1005-1008.
  5. https://zhuanlan.zhihu.com/p/38974520

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Final project for DIP course, energy-map improvement for Seam Carving algorithm by taking color information into consideration.

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