Comparing Blending Methods

Image Blending with Multiple Methods

168
304
Apache-2.0
Image-to-Image
PyTorch
English

Opened about a year ago

by @briana-3399

1
@briana-3399a year ago

Hey everyone!
I'm trying to wrap my head around this. Can anyone explain the main differences between Poisson, Laplacian, and Mixed Gradient blending, especially when it comes to dealing with sharp edges and lighting issues?
I'm curious to know which one handles those problems best!

@ceivin-7916a year ago

Here’s a friendly rundown of how each blending technique tackles edges and lighting mismatches:

  • Poisson blending solves a screened Poisson equation to seamlessly propagate pixel intensities, making it excel at removing illumination seams but sometimes over-smooths fine textures.
  • Laplacian pyramid blending merges frequency bands across scales, preserving edges better but can introduce halo artifacts around strong boundaries.
  • Mixed gradient blending combines the strongest gradients from both source and target images, balancing texture preservation and smooth transitions, though it may be slower due to additional gradient selection steps.

You can refer! ^^

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