Denoising in Mode Conversion by Utilizing Diffractive Deep Neural Networks Optimized with Reinforcement Learning.
Zheng LiWenbo ZhangYang WangGuanju PengZongze LiXiaoyan ZhouLin ZhangPublished in: OFC (2024)
Keyphrases
- denoising
- neural network
- reinforcement learning
- image denoising
- function approximators
- pattern recognition
- function approximation
- noisy images
- total variation
- artificial neural networks
- denoising algorithm
- image processing
- wavelet domain
- back propagation
- learning algorithm
- learning capabilities
- noise removal
- natural images
- fuzzy logic
- neural network model
- temporal difference
- self organizing maps
- multi agent
- fuzzy systems
- robotic control
- learning classifier systems
- training process
- feed forward
- dynamic programming
- learning process
- genetic algorithm
- machine learning
- markov decision processes
- reinforcement learning algorithms
- denoising methods
- deep learning