A Revised Underwater Image Formation Model

2018 ◽  
Author(s):  
Derya Akkaynak ◽  
Tali Treibitz
Keyword(s):  
Image Formation ◽  
Formation Model ◽  
Underwater Image

A Three Parameter Underwater Image Formation Model

2016 ◽  
Vol 2016 (18) ◽  
pp. 1-8 ◽  
Author(s):  
Henryk Blasinski ◽  
Joyce Farrell
Keyword(s):  
Image Formation ◽  
Formation Model ◽  
Underwater Image

scholarly journals Underwater Image Enhancement Based on Local Contrast Correction and Multi-Scale Fusion

2021 ◽  
Vol 9 (2) ◽  
pp. 225
Author(s):  
Farong Gao ◽  
Kai Wang ◽  
Zhangyi Yang ◽  
Yejian Wang ◽  
Qizhong Zhang
Keyword(s):  
Image Enhancement ◽  
Local Contrast ◽  
Fusion Method ◽  
Formation Model ◽  
Low Contrast ◽  
White Balance ◽  
Multi Scale ◽  
Color Distortion ◽  
Underwater Image ◽  
Enhancement Method

In this study, an underwater image enhancement method based on local contrast correction (LCC) and multi-scale fusion is proposed to resolve low contrast and color distortion of underwater images. First, the original image is compensated using the red channel, and the compensated image is processed with a white balance. Second, LCC and image sharpening are carried out to generate two different image versions. Finally, the local contrast corrected images are fused with sharpened images by the multi-scale fusion method. The results show that the proposed method can be applied to water degradation images in different environments without resorting to an image formation model. It can effectively solve color distortion, low contrast, and unobvious details of underwater images.

scholarly journals Underwater Image Restoration via Non-Convex Non-Smooth Variation and Thermal Exchange Optimization

2021 ◽  
Vol 9 (6) ◽  
pp. 570
Author(s):  
Qingliang Jiao ◽  
Ming Liu ◽  
Pengyu Li ◽  
Liquan Dong ◽  
Mei Hui ◽  
...  
Keyword(s):  
Image Restoration ◽  
Qualitative And Quantitative Analysis ◽  
Formation Model ◽  
High Quality ◽  
Thermal Exchange ◽  
Qualitative And Quantitative ◽  
Smooth Variation ◽  
Underwater Image ◽  
Dark Channel

The quality of underwater images is an important problem for resource detection. However, the light scattering and plankton in water can impact the quality of underwater images. In this paper, a novel underwater image restoration based on non-convex, non-smooth variation and thermal exchange optimization is proposed. Firstly, the underwater dark channel prior is used to estimate the rough transmission map. Secondly, the rough transmission map is refined by the proposed adaptive non-convex non-smooth variation. Then, Thermal Exchange Optimization is applied to compensate for the red channel of underwater images. Finally, the restored image can be estimated via the image formation model. The results show that the proposed algorithm can output high-quality images, according to qualitative and quantitative analysis.

scholarly journals An image formation model for Secondary Ion Mass Spectrometry imaging of biological tissue samples

2010 ◽  
Vol 257 (4) ◽  
pp. 1267-1275 ◽  
Author(s):  
Gaia Volandri ◽  
Luca Menichetti ◽  
Marco Matteucci ◽  
Claudia Kusmic ◽  
Marco Consumi ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Biological Tissue ◽  
Mass Spectrometry Imaging ◽  
Secondary Ion Mass Spectrometry ◽  
Image Formation ◽  
Formation Model ◽  
Tissue Samples ◽  
Ion Mass Spectrometry ◽  
Secondary Ion
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