In order to improve the image contrast and strengthen the details of high dynamic range (HDR) infrared (IR) image, a
detail enhancement method based on histogram statistical stretching (HSS) and gradient filtering (GF) is proposed. First,
the outliers in the HDR image are clipped by the proposed histogram statistical strategy and the clipped histogram is then
extended to a new grayscale range to acquire a better contrast of view. The details in the HDR image are extracted by
using the GF and its result is then adjusted by using the HSS to enhance the low-contrast detail perception. Finally, the
GF result is superposed with the HSS result in a proper way to generate the final detail-enhanced image. The
contribution and innovation made is threefold. A new technique for visualization of HDR image especially tailored to IR
image is proposed. The effectiveness and convenience are shown by analyzing the experimental images that represent the
typical and common IR scenes. Last, the performance is quantitatively assessed compared with other well-established
methods. The simulation and experimental results approve its low cost, low complexity and promising outlook for
real-time processing.
The integration of thermal imaging system and radar system could increase the range of target
identification as well as strengthen the accuracy and reliability of detection, which is a state-of-the-art
and mainstream integrated system to search any invasive target and guard homeland security. When it
works, there is, however, one defect existing of what the thermal imaging system would produce
affected images which could cause serious consequences when searching and detecting. In this paper,
we study and reveal the reason why and how the affected images would occur utilizing the principle of
lightwave before establishing mathematical imaging model which could meet the course of ray
transmitting. In the further analysis, we give special attentions to the systematic parameters of the
model, and analyse in detail all parameters which could possibly affect the imaging process and the
function how it does respectively. With comprehensive research, we obtain detailed information about
the regulation of diffractive phenomena shaped by these parameters. Analytical results have been
convinced through the comparison between experimental images and MATLAB simulated images,
while simulated images based on the parameters we revised to judge our expectation have good
comparability with images acquired in reality.
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