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Found 6 papers, 2 papers with code
Fast Enhancement for Non-Uniform Illumination Images using Light-weight CNNs
This paper proposes a new light-weight convolutional neural network (5k parameters) for non-uniform illumination image enhancement to handle color, exposure, contrast, noise and artifacts, etc., simultaneously and effectively.
An Integrated Enhancement Solution for 24-hour Colorful Imaging
The current industry practice for 24-hour outdoor imaging is to use a silicon camera supplemented with near-infrared (NIR) illumination.
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
Specifically, it achieves 77. 1% Mean IOU on the Cityscapes test dataset with the speed of 41 FPS for a 1024*2048 input, and 75. 4% Mean IOU with the speed of 91 FPS on the Camvid test dataset.
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
Low-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in the dark.
Ranked #1 on
Low-Light Image Enhancement
on 3DMatch Benchmark
(using extra training data)
Turn a Silicon Camera Into an InGaAs Camera
Short-wave infrared (SWIR) imaging has a wide range of applications for both industry and civilian.
Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Inspired by Koch's Postulates, a well-known strategy in medical research to identify the property of pathogen, we define a pathological descriptor that can be extracted from the activated neurons of a diabetic retinopathy detector.
