Novel seam carving method

My method steps:

1. Pre-scaling

2. Create energy map

a- Create gradient map

I used Bi-Directional Cascade Network for Perceptual Edge Detection, CVPR 2019 and this pytorch implementation.

Download the pre-trained model here.

b- Create saliency map

I used Pyramid Feature Attention Network for Saliency Detection, CVPR 2019 and this pytorch implementation.

Download the pre-trained model here.

c- Use depth map

I assumed that the depth map is given as input to the system.

3. Create energy map: GM + SM + DM

4. Select the appropriate threshold for the transition from seam carving to scaling

5. Seam carving

6. Post-scaling

Results

Original image	50 % width reduction	60 %	70 %	80 %	90 %

Support

Contact me @:

e-mail:

• farzanehkoohestani2000@gmail.com

Telegram id:

• @farzaneh_koohestani

License

MIT © Farzaneh Koohestani