Contextual colorization and denoising for low-light ultra high resolution sequences

5 Jan 2021 N. Anantrasirichai David Bull

Low-light image sequences generally suffer from spatio-temporal incoherent noise, flicker and blurring of moving objects. These artefacts significantly reduce visual quality and, in most cases, post-processing is needed in order to generate acceptable quality... (read more)

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Methods used in the Paper


METHOD TYPE
Colorization
Self-Supervised Learning
Residual Connection
Skip Connections
Batch Normalization
Normalization
Residual Block
Skip Connection Blocks
PatchGAN
Discriminators
Leaky ReLU
Activation Functions
Convolution
Convolutions
Instance Normalization
Normalization
Cycle Consistency Loss
Loss Functions
Sigmoid Activation
Activation Functions
GAN Least Squares Loss
Loss Functions
ReLU
Activation Functions
Tanh Activation
Activation Functions
CycleGAN
Generative Models