Detail enhancement for infrared images basedon Relativity of Gaussian-Adaptive BilateralFilter

For displaying high-dynamic-range images acquired by thermal camera systems, 14-bit raw infrared data should map into 8-bit gray values. This paper presents a new method for detail enhancement of infrared images to display the image with a relatively satisfied contrast and brightness, rich detail information, and no artifacts caused by the image processing. We first adopt a propagated image filter to smooth the input image and separate the image into the base layer and the detail layer. Then, we refine the base layer by using modified histogram projection for compressing. Meanwhile, the adaptive weights derived from the layer decomposition processing are used as the strict gain control for the detail layer. The final display result is obtained by recombining the two modified layers. Experimental results on both cooled and uncooled infrared data verify that the proposed method outperforms the method based on log-power histogram modification and bilateral filter-based detail enhancement in both detail enhancement and visual effect.

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Dynamic Range Compression and Detail Enhancement Algorithm Combined with PE for High Dynamic Range Infrared Images

Infrared Technoiogy ◽

10.3724/sp.j.7101182190 ◽

2020 ◽

Vol 42 (3) ◽

pp. 279-285

Author(s):

波杨 ◽

晓东王 ◽

朋葛 ◽

俊波苏 ◽

兰苏 ◽

...

Keyword(s):

Dynamic Range ◽

High Dynamic Range ◽

Infrared Images ◽

Dynamic Range Compression ◽

High Dynamic ◽

Detail Enhancement ◽

Enhancement Algorithm

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.427-429.1813 ◽

2013 ◽

Vol 427-429 ◽

pp. 1813-1816 ◽

Cited By ~ 1

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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