Novel image detail enhancement technology for high dynamic range infrared detector

2014 ◽  
Author(s):  
Ning Liu ◽  
Caigao Zhu
Keyword(s):  
Dynamic Range ◽  
Infrared Detector ◽  
High Dynamic Range ◽  
Enhancement Technology ◽  
High Dynamic ◽  
Image Detail ◽  
Detail Enhancement

A detail enhancement and dynamic range adjustment algorithm for high dynamic range images

2014 ◽  
Author(s):  
Bo Xu ◽  
Huachuang Wang ◽  
Mingtao Liang ◽  
Cong Yu ◽  
Jinlong Hu ◽  
...  
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Range Images ◽  
High Dynamic ◽  
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.

Creation Method of High Dynamic Range Image Based on Three-Color Camera

2015 ◽  
Vol 731 ◽  
pp. 193-196
Author(s):  
Jie Li ◽  
Hai Wen Wang ◽  
Xi Xi He
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Range Image ◽  
Range Images ◽  
Visual Evaluation ◽  
Display Devices ◽  
High Dynamic ◽  
Low Dynamic Range ◽  
Detail Enhancement ◽  
Fine Tune

The current HDR (High-Dynamic Range) images gets expensive display devices with low dynamic range of equipment problems, research objectives are presented methods for using ordinary camera fetching and displaying high dynamic range images. General three-color camera’s use is to obtain 3 different exposures of the same scene images, and binary image pyramid, followed by low-level image panning and rotation registration step by step, using HDR Darkroom Photomatix software obtains high dynamic range images ,tone mapping and detail enhancement, using Photoshop software to fine-tune to get the final high-dynamic range images. Visual evaluation and instrumental measurements shows the synthesis of high dynamic range images can increase reflects the brightness of the scene, details and colour information, application and promotion of the value of the method.

scholarly journals Infrared Image Adaptive Enhancement Guided by Energy of Gradient Transformation and Multiscale Image Fusion

2020 ◽  
Vol 10 (18) ◽  
pp. 6262
Author(s):  
Feiran Chen ◽  
Jianlin Zhang ◽  
Jingju Cai ◽  
Tao Xu ◽  
Gang Lu ◽  
...  
Keyword(s):  
Dynamic Range ◽  
Infrared Image ◽  
High Dynamic Range ◽  
Input Image ◽  
Base Layer ◽  
Dynamic Range Compression ◽  
Novel Approach ◽  
Adaptive Enhancement ◽  
High Dynamic ◽  
Detail Enhancement

The detail enhancement and dynamic range compression of infrared (IR) images is an important issue and a necessary practical application in the domain of IR image processing. This paper provides a novel approach to displaying high dynamic range infrared images on common display equipment with appropriate contrast and clear detail information. The steps are chiefly as follows. First, in order to protect the weak global details in different regions of the image, we adjust the original normalized image into multiple brightness levels by adaptive Gamma transformation. Second, each brightness image is decomposed into a base layer and several detail layers by the multiscale guided filter. Details in each image are enhanced separately. Third, to obtain the image with global details of the input image, enhanced images in each brightness are fused together. Last, we filter out the outliers and adjust the dynamic range before outputting the image. Compared with other conventional or cutting-edge methods, the experimental results demonstrate that the proposed approach is effective and robust in dynamic range compression and detail information enhancement of IR image.

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