An enhancement method for color retinal images based on image formation model

2017 ◽  
Vol 143 ◽  
pp. 137-150 ◽  
Author(s):  
Li Xiong ◽  
Huiqi Li ◽  
Liang Xu
Keyword(s):  
Image Formation ◽  
Retinal Images ◽  
Formation Model ◽  
Enhancement Method

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 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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