Burst Denoising with Kernel Prediction Networks

Code

• github.com/z-bingo/kernel-prediction-networks-PyTorch
  pytorch★ 0
• github.com/pminhtam/KPN_attention
  pytorch★ 0
• github.com/google/burst-denoising
  tf★ 0

Abstract

We present a technique for jointly denoising bursts of images taken from a handheld camera. In particular, we propose a convolutional neural network architecture for predicting spatially varying kernels that can both align and denoise frames, a synthetic data generation approach based on a realistic noise formation model, and an optimization guided by an annealed loss function to avoid undesirable local minima. Our model matches or outperforms the state-of-the-art across a wide range of noise levels on both real and synthetic data.

Tasks

Reproductions