Investigation on improved infrared image detail enhancement algorithm based on adaptive histogram statistical stretching and gradient filtering

2014 ◽  
Author(s):  
Bangze Zeng ◽  
Youpan Zhu ◽  
Zemin Li ◽  
Dechao Hu ◽  
Lin Luo ◽  
...  
Keyword(s):  
Infrared Image ◽  
Image Detail ◽  
Detail Enhancement ◽  
Enhancement Algorithm

Study on infrared image detail enhancement algorithm based on adaptive lateral inhibition network

2015 ◽  
Vol 68 ◽  
pp. 10-14 ◽  
Author(s):  
Shaosheng Dai ◽  
Qin Liu ◽  
Pengfei Li ◽  
Jinsong Liu ◽  
Haiyan Xiang
Keyword(s):  
Lateral Inhibition ◽  
Infrared Image ◽  
Image Detail ◽  
Detail Enhancement ◽  
Enhancement Algorithm

Infrared image detail enhancement based on local adaptive gamma correction

2012 ◽  
Vol 10 (2) ◽  
pp. 021002-21006 ◽  
Author(s):  
Bin Liu Bin Liu ◽  
Xia Wang Xia Wang ◽  
Weiqi Jin Weiqi Jin ◽  
Yan Chen Yan Chen ◽  
Chongliang Liu Chongliang Liu ◽  
...  
Keyword(s):  
Infrared Image ◽  
Gamma Correction ◽  
Adaptive Gamma Correction ◽  
Image Detail ◽  
Detail Enhancement

A New Infrared Image Detail Enhancement and Dynamic Range Compression Algorithm

2011 ◽  
Vol 31 (s1) ◽  
pp. s100504
Author(s):  
刘秀 Liu Xiu ◽  
刘斌 Liu Bin ◽  
金伟其 Jin Weiqi ◽  
范永杰 Fan Yongjie
Keyword(s):  
Dynamic Range ◽  
Infrared Image ◽  
Compression Algorithm ◽  
Dynamic Range Compression ◽  
Image Detail ◽  
Detail Enhancement

A New High-Dynamic-Range Compression and Detail Enhancement Algorithm for Infrared Images

2013 ◽  
Vol 427-429 ◽  
pp. 1813-1816 ◽  
Author(s):  
Ting Ting Liu ◽  
Ya Dong Jiang ◽  
Wei Yi Ding ◽  
Xiang Sheng Meng ◽  
Xian Wang
Keyword(s):  
Dynamic Range ◽  
Infrared Image ◽  
High Dynamic Range ◽  
Linear Mapping ◽  
Infrared Images ◽  
Base Component ◽  
Dynamic Range Compression ◽  
High Dynamic ◽  
Detail Enhancement ◽  
Enhancement Algorithm

Infrared images have the high dynamic range characteristic, generally digitized to 14 bit. While most display devices can only show 8 bit images, so high bit-wide infrared image signal should be compressed to low bit-wide display data without losing the important detail information. A new high-dynamic-range compression and detail enhancement algorithm for infrared images is presented in this paper. In the proposed algorithm, the original infrared image is separated into the low-frequency base component and the high-frequency detail component. Then the base component is compressed with the simple gray level linear mapping, and the detail component is enhanced with the S-curve transformation. Finally, the two components are combined to get the 8 bit enhanced image. The experimental results show that the proposed algorithm can achieve the dynamic range compression while effectively preserve and enhance the local detail information.

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