Enhancement Algorithms for Low-Light and Low-Contrast Images

被引：1

作者：

Puzovic, Sndana ^{[1
]}

Petrovic, Ranko ^{[1
]}

Pavlovic, Milos ^{[1
]}

Stankovic, Srdan ^{[1
]}

机构：

[1] Vlatacom Inst, Belgrade, Serbia

来源：

2020 19TH INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH) | 2020年

关键词：

Image dehazing; Low-light Imaging; Image Enhancement; Image Quality Assessment;

D O I：

10.1109/infoteh48170.2020.9066316

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：6

共 16 条

[1] DehazeNet: An End-to-End System for Single Image Haze Removal [J].