A new method based on multi-scale retinex for low contrast image enhancement

2012 ◽  
Author(s):  
Bo Peng ◽  
Hongying Zhang ◽  
Qiong Xie ◽  
Qiaoling Liu
Keyword(s):  
Image Enhancement ◽  
New Method ◽  
Low Contrast ◽  
Multi Scale ◽  
Contrast 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.

Research on low contrast image enhancement technology

2021 ◽  
Author(s):  
Jiale Yao ◽  
Xiangsuo Fan ◽  
Yixun Chen ◽  
Wuchao Li
Keyword(s):  
Image Enhancement ◽  
Low Contrast ◽  
Enhancement Technology ◽  
Contrast Image

Low-contrast image enhancement using spatial contextual similarity histogram computation and color reconstruction

2020 ◽  
Vol 357 (18) ◽  
pp. 13941-13963
Author(s):  
Kankanala Srinivas ◽  
Ashish Kumar Bhandari ◽  
Anurag Singh
Keyword(s):  
Image Enhancement ◽  
Low Contrast ◽  
Contrast Image

scholarly journals Comparative Study of Different Image Enhancement Techniques

2012 ◽  
Vol 2 (3) ◽  
pp. 131-133
Author(s):  
Saruchi Garg ◽  
Madan Lal
Keyword(s):  
Comparative Study ◽  
Image Enhancement ◽  
Imaging Modality ◽  
Visual Quality ◽  
Low Contrast ◽  
Contrast Image

The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. Image enhancement techniques provide a multitude of choices for improving the visual quality of images. Appropriate choice of such techniques is greatly influenced by the imaging modality, task at hand and viewing conditions. This paper analyses the performance of some of existing image enhancement algorithms. The performance of algorithms are evaluated  both qualitatively and quantitatively.

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