Sky detection- and texture smoothing-based high-visibility haze removal from images and videos

2017 ◽  
Vol 28 (3-4) ◽  
pp. e1776 ◽  
Author(s):  
Chunxiao Liu ◽  
Yiyun Shen ◽  
Yaqi Shao ◽  
Jinwei Zhao ◽  
Xun Wang
Keyword(s):  
Haze Removal ◽  
Texture Smoothing

scholarly journals Texture Smoothing Quality Assessment via Information Entropy

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 88410-88421
Author(s):  
Chong Liu ◽  
Cui Yang ◽  
Mingqiang Wei ◽  
Jun Wang
Keyword(s):  
Quality Assessment ◽  
Information Entropy ◽  
Texture Smoothing

scholarly journals Single image haze removal considering sensor blur and noise

2013 ◽  
Vol 2013 (1) ◽  
Author(s):  
Xia Lan ◽  
Liangpei Zhang ◽  
Huanfeng Shen ◽  
Qiangqiang Yuan ◽  
Huifang Li
Keyword(s):  
Single Image ◽  
Haze Removal

scholarly journals A Review of Remote Sensing Image Dehazing

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3926
Author(s):  
Juping Liu ◽  
Shiju Wang ◽  
Xin Wang ◽  
Mingye Ju ◽  
Dengyin Zhang
Keyword(s):  
Remote Sensing ◽  
Data Driven ◽  
Future Research ◽  
Research Focus ◽  
Image Dehazing ◽  
Surface Information ◽  
Haze Removal ◽  
Advantages And Disadvantages ◽  
Extra Information ◽  
Removal Technique

Remote sensing (RS) is one of the data collection technologies that help explore more earth surface information. However, RS data captured by satellite are susceptible to particles suspended during the imaging process, especially for data with visible light band. To make up for such deficiency, numerous dehazing work and efforts have been made recently, whose strategy is to directly restore single hazy data without the need for using any extra information. In this paper, we first classify the current available algorithm into three categories, i.e., image enhancement, physical dehazing, and data-driven. The advantages and disadvantages of each type of algorithm are then summarized in detail. Finally, the evaluation indicators used to rank the recovery performance and the application scenario of the RS data haze removal technique are discussed, respectively. In addition, some common deficiencies of current available methods and future research focus are elaborated.

scholarly journals Single image haze removal using variable fog-weight

2020 ◽  
Vol 1706 ◽  
pp. 012091
Author(s):  
Mohammed Shoaib ◽  
Mohd Mohsin ◽  
Imbeshat Khalid Ansari ◽  
Harshat Maddhesiya ◽  
Upendra Kumar Acharya
Keyword(s):  
Single Image ◽  
Haze Removal

Single image fog and haze removal based on self-adaptive guided image filter and color channel information of sky region

2017 ◽  
Vol 77 (11) ◽  
pp. 13513-13530 ◽  
Author(s):  
Bo Jiang ◽  
Hongqi Meng ◽  
Jian Zhao ◽  
Xiaolei Ma ◽  
Siyu Jiang ◽  
...  
Keyword(s):  
Single Image ◽  
Color Channel ◽  
Image Filter ◽  
Haze Removal ◽  
Guided Image Filter ◽  
Channel Information ◽  
Self Adaptive
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