An Image Dehazing Algorithm Based on Single-Scale Retinex and Homomorphic Filtering

Author(s):  
Hong Wu ◽  
Zhiwei Tan
Author(s):  
A Dyanaa ◽  
◽  
Srruthi Thiagarajan Visvanathan ◽  
Varsha Chandran

2013 ◽  
Author(s):  
Stephanie S. Spielmann ◽  
Geoff MacDonald ◽  
Jessica A. Maxwell ◽  
Samantha Joel ◽  
Diana Peragine ◽  
...  
Keyword(s):  

2020 ◽  
Vol 2020 (1) ◽  
pp. 74-77
Author(s):  
Simone Bianco ◽  
Luigi Celona ◽  
Flavio Piccoli

In this work we propose a method for single image dehazing that exploits a physical model to recover the haze-free image by estimating the atmospheric scattering parameters. Cycle consistency is used to further improve the reconstruction quality of local structures and objects in the scene as well. Experimental results on four real and synthetic hazy image datasets show the effectiveness of the proposed method in terms of two commonly used full-reference image quality metrics.


Author(s):  
Adi Mora Lubis ◽  
Nelly Astuti Hasibuan ◽  
Imam Saputra

Digital imagery is a two-dimensional image process through a digital computer that is used to manipulate and modify images in various ways. Photos are examples of two-dimensional images that can be processed easily. Each photo in the form of a digital image can be processed through a specific software. In the water environment, the light factor greatly influences the results of the quality of the image obtained. With the deepening of underwater shooting, the results obtained will be the darker the quality of the underwater image. . uneven lighting and bluish tones. One of the factors that influence the recognition results in pattern recognition is the quality of the image that is inputted. The image acquired from the source does not always have good quality. The process of repairing digital images that experience interference in lighting. The lighting repair process uses homomorphic filtering and uses contrast striching and will compare the quality of both methods and test to prove the results of image quality between homomorphic filtering and contrast streching. Until later the results of both methods can be seen which is better. homomorphic filtering and contrast stretching can produce image improvements with pretty good performance.Keywords: Digital Image, Underwater Image, Homomorphic Filtering, Contrast Streching, Matlab R2010a


2010 ◽  
Vol 30 (9) ◽  
pp. 2417-2421 ◽  
Author(s):  
Fan GUO ◽  
Zi-xing CAI ◽  
Bin XIE ◽  
Jin TANG
Keyword(s):  

2019 ◽  
Vol 31 (7) ◽  
pp. 1148 ◽  
Author(s):  
Xinnan Fan ◽  
Shuyue Ye ◽  
Pengfei Shi ◽  
Xuewu Zhang ◽  
Jinxiang Ma

Author(s):  
Geet Sahu ◽  
Ayan Seal ◽  
Ondrej Krejcar ◽  
Anis Yazidi

2021 ◽  
Vol 30 ◽  
pp. 1100-1115
Author(s):  
Pengyue Li ◽  
Jiandong Tian ◽  
Yandong Tang ◽  
Guolin Wang ◽  
Chengdong Wu

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