높은 동적 범위를 갖는 IR 영상의 시각화를 위한 적응적 히스토그램 투영과 디테일 향상 기법
Adaptive Histogram Projection And Detail Enhancement for the Visualization of High Dynamic Range Infrared Images
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초록
In this paper, we propose an adaptive histogram projection technique for dynamic range compression and an efficient detail enhancement method which is enhancing strong edge while reducing noise. First, The high dynamic range image is divided into low-pass component and high-pass component by applying ‘guided image filtering’. After applying ‘guided filter’ to high dynamic range image, second, the low-pass component of the image is compressed into 8-bit with the adaptive histogram projection technique which is using global standard deviation value of whole image. Third, the high-pass component of the image adaptively reduces noise and intensifies the strong edges using standard deviation value in local path of the guided filter. Lastly, the monitor display image is summed up with the compressed low-pass component and the edge-intensified high-pass component. At the end of this paper, the experimental result show that the suggested technique can be applied properly to the IR images of various scenes.
Abstract
In this paper, we propose an adaptive histogram projection technique for dynamic range compression and an efficient detail enhancement method which is enhancing strong edge while reducing noise. First, The high dynamic range image is divided into low-pass component and high-pass component by applying ‘guided image filtering’. After applying ‘guided filter’ to high dynamic range image, second, the low-pass component of the image is compressed into 8-bit with the adaptive histogram projection technique which is using global standard deviation value of whole image. Third, the high-pass component of the image adaptively reduces noise and intensifies the strong edges using standard deviation value in local path of the guided filter. Lastly, the monitor display image is summed up with the compressed low-pass component and the edge-intensified high-pass component. At the end of this paper, the experimental result show that the suggested technique can be applied properly to the IR images of various scenes.
참고문헌 (10)
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- Garcia, F, "Real-Time Visualization of High-Dynamic-Range Infrared Images based on Human Perception Characteristics", International Conference on Computer Vision Theory and Applications 2015 (2015)
- Garcia, F., "Noise Removal and Real-Time Detail Enhancement of High-Dynamic-Range Infrared Images with Time Consistency", International Conference on Quality Control by Artificial Vision 2015 (2015)