[1]CHEN Chen,LI Weijun,CHEN Liang,et al.An adaptive biomimetic image processing method: LDRF algorithm[J].CAAI Transactions on Intelligent Systems,2012,7(5):404-408.
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An adaptive biomimetic image processing method: LDRF algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 5 Page number: 404-408 Column: 学术论文—机器学习 Public date: 2012-10-25
Title:
An adaptive biomimetic image processing method: LDRF algorithm
Author(s):
CHEN Chen;  LI Weijun;  CHEN Liang;  QIN Hong;  LAI Jiangliang 
Laboratory of Artificial Neural Networks, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
Keywords:
biomimetic image processing;  human visual system;  image enhancement;  triGuassian model;  parameterized logarithmic model;  gain factor model
CLC:
TP391.4
DOI:
-
Abstract:
The research proposes to continue examining a novel adaptive biomimetic image processing method called, LDRF (logarithmic and disinhibitory properties of concentric receptive field) algorithm. Numerous research studies have examined biomimetic image processing method and human visual characteristics, which include brightness adaptability and disinhibitory properties of concentric receptive fields. Firstly, a parameterize logarithmic function was adjusted for global luminance for image adaptability. Secondly, the triGaussian dynamic filtering was applied to the partial detail enhancement. Wallis operator was also introduced for establishing a gain factor model that provided adaptability for partial detail enhancement as well. Finally, the linear transform was performed for the color restoration. The contrast experimental results were based on a large image set which indicated, the LDRF algorithm is capable of adapting and enhancing the images with different sizes and contents. Additionally, the study avoided over enhancement, achieved excellent effects and increased practicality of the biomimetic image enhancement algorithm.
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