Improved Multi-Scale Retinex Algorithm for Medical Image Enhancement

2012 ◽  
pp. 930-937 ◽  
Author(s):  
Qingyuan Meng ◽  
Deqian Bian ◽  
Mengfan Guo ◽  
Fengmei Lu ◽  
Dongpu Liu
Keyword(s):  
Image Enhancement ◽  
Medical Image ◽  
Multi Scale ◽  
Retinex Algorithm ◽  
Medical Image Enhancement

An Improved Algorithm Based on Retinex Theory for X-Ray Medical Image

2013 ◽  
Vol 772 ◽  
pp. 233-238
Author(s):  
Wen Bo Wang ◽  
Li Juan Zhou ◽  
Li Fei
Keyword(s):  
Image Enhancement ◽  
Medical Image ◽  
Dynamic Range ◽  
Medical Image Analysis ◽  
Practical Significance ◽  
Low Contrast ◽  
X Ray ◽  
Retinex Algorithm ◽  
Retinex Theory ◽  
Medical Image Enhancement

Retinex theory combined the elements of images and visual.This paper improved the Retinex-based medical image enhancement method, It can get better brightness by using the neural network logarithmic The S-shaped LogSig transfer function instead of the original MSR logarithm function. Based on this, the paper presents a composite LRA (LogSig Retinex Algorithm) algorithm, and analysed the shortcomings of the original Retinex algorithm applied to the X-ray medical image analysis, described the advantage of the composite LRA algorithm is better than traditional Retinex algorithm on the X-ray medical image. Experimental results show that the improved Retinex algorithm can achieve not only low-contrast medical image enhancement, but also the dynamic range compression of the image, can significantly improve the information of the medical image of the dark area. It has practical significance for clinical diagnosis.

scholarly journals 3-D Block-Rooting Scheme With Application to Medical Image Enhancement

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 3880-3893
Author(s):  
Viacheslav Voronin ◽  
Aleksander Zelensky ◽  
Sos Agaian
Keyword(s):  
Image Enhancement ◽  
Medical Image ◽  
Medical Image Enhancement
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