Enhancement Algorithms for Low-Light and Low-Contrast Images
- Resource Type
- Conference
- Authors
- Puzovic, Snezana; Petrovic, Ranko; Pavlovic, Milos; Stankovic, Srdan
- Source
- 2020 19th International Symposium INFOTEH-JAHORINA (INFOTEH) Symposium INFOTEH-JAHORINA (INFOTEH), 2020 19th International. :1-6 Mar, 2020
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Imaging
Measurement
Image color analysis
Image edge detection
Image enhancement
Image quality
Mathematical model
Image dehazing
Low-light Imaging
Image Enhancement
Image Quality Assessment
- Language
Images in bad weather can be degraded by scattering atmospheric particles, and suffer from low contrast and faint color. Main focus of this work is on dehazing methods that can be used for low-light and low-contrast conditions. Dehazing algorithms can be applied to low-light (night) imaging in a way that inverted night images are considered as hazy images. Different image quality metrics are used to measure quality of image enhancement algorithm. Since it is not easy to obtain original image without haze, special attention is given to the no-reference metrics that evaluate image contrast enhancement.