scholarly journals Detail Enhancement for Infrared Images Based on Propagated Image Filter

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Yishu Peng ◽  
Yunhui Yan ◽  
Jiuliang Zhao
Keyword(s):  
Dynamic Range ◽  
Gain Control ◽  
Bilateral Filter ◽  
Input Image ◽  
Base Layer ◽  
Infrared Images ◽  
Image Filter ◽  
Histogram Modification ◽  
Detail Enhancement ◽  
Infrared Data

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.

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.

Detail Enhancement for High Dynamic Range Images Rendering Based on Multi-Level Decomposition

2014 ◽  
Vol 543-547 ◽  
pp. 2600-2604
Author(s):  
Hua Wang ◽  
Hui Zhang ◽  
Jian Zhong Cao ◽  
Zuo Feng Zhou ◽  
Lei Yang ◽  
...  
Keyword(s):  
Dynamic Range ◽  
Bilateral Filter ◽  
High Dynamic Range ◽  
Computational Photography ◽  
Base Layer ◽  
Range Images ◽  
Tone Reproduction ◽  
High Dynamic ◽  
Multi Level ◽  
Detail Enhancement

Various tone reproduction operators have been proposed to display high dynamic range images on low dynamic range (LDR) devices. Many recent computational photography techniques decompose an image into a piecewise smooth base layer, containing large scale variations in intensity, and a residual detail layer capturing the smaller scale details in the image. In these techniques, its important to control the scale of the extracted details and it is often needed to manipulate details in order to avoid the appearance of visual artifacts. In this paper, a new method is proposed to preserve details for high dynamic range images tone reproduction using multi-level image decomposition. We show that current base-detail decomposition techniques, based on the bilateral filter, are limited in their ability to extract detail at arbitrary scales. Thus, we achieve detail enhancement by applying the bilateral filter iteratively, and this process is called multi-level decomposition. By minimizing the proposed energy function, we can choose the proper decomposition level. Simulation results demonstrate that the proposed method can acquire better visual quality in detail enhancement while make the base smoothness.

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.

Sign in / Sign up

Export Citation Format

Share Document