• Title, Summary, Keyword: infrared image

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Image Enhancement of an Infrared Thermal Camera Using Edge Detection Methods (에지 검출 방법을 이용한 열화상 카메라의 영상 개선)

  • Jung, Min Chul
    • Journal of the Semiconductor & Display Technology
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    • v.15 no.3
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    • pp.51-56
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    • 2016
  • This paper proposes a new image enhancement method for an infrared thermal image. The proposed method uses both Laplacian and Prewitt edge detectors. Without a visible light, it uses an infrared image for the edge detection. The method subtracts contour images from the infrared thermal image. It results black contours of objects in the infrared thermal image. That makes the objects in the infrared thermal image distinguished clearly. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using various infrared thermal images. The results show that the proposed method is successful for image enhancement of an infrared thermal image.

Image Processing using Thermal Infrared Image (열적외선 이미지를 이용한 영상 처리)

  • Jeong, Byoung-Jo;Jang, Sung-Whan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.7
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    • pp.1503-1508
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    • 2009
  • This study applied image processing techniques, constructed to real-time, to thermal infrared camera image. Thermal infrared image data was utilized for hot mapping, cool mapping, and rainbow mapping according to changing temperature. It was histogram image processing techniques so that detected shade contrast function of the thermal infrared image, and the thermal infrared image's edge was extracted to classification of object. Moreover, extraction of temperature from image was measured by using the image information program.

Visible Image Enhancement Method Considering Thermal Information from Infrared Image (원적외선 영상의 열 정보를 고려한 가시광 영상 개선 방법)

  • Kim, Seonkeol;Kang, Hang-Bong
    • Journal of Broadcast Engineering
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    • v.18 no.4
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    • pp.550-558
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    • 2013
  • The infrared and visible images are represented by different information due to the different wavelength of the light. The infrared image has thermal information and the visible image has texture information. Desirable results are obtained by fusing infrared and visible information. To enhance a visible image, we extract a weight map from a visible image using saturation, brightness. After that, the weight map is adjusted using thermal information in the infrared image. Finally, an enhanced image is resulted from combining an infrared image and a visible image. Our experiment results show that our proposed algorithm is working well to enhance the smoke in the original image.

Real-Time Visible-Infrared Image Fusion using Multi-Guided Filter

  • Jeong, Woojin;Han, Bok Gyu;Yang, Hyeon Seok;Moon, Young Shik
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.3092-3107
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    • 2019
  • Visible-infrared image fusion is a process of synthesizing an infrared image and a visible image into a fused image. This process synthesizes the complementary advantages of both images. The infrared image is able to capture a target object in dark or foggy environments. However, the utility of the infrared image is hindered by the blurry appearance of objects. On the other hand, the visible image clearly shows an object under normal lighting conditions, but it is not ideal in dark or foggy environments. In this paper, we propose a multi-guided filter and a real-time image fusion method. The proposed multi-guided filter is a modification of the guided filter for multiple guidance images. Using this filter, we propose a real-time image fusion method. The speed of the proposed fusion method is much faster than that of conventional image fusion methods. In an experiment, we compare the proposed method and the conventional methods in terms of quantity, quality, fusing speed, and flickering artifacts. The proposed method synthesizes 57.93 frames per second for an image size of $320{\times}270$. Based on our experiments, we confirmed that the proposed method is able to perform real-time processing. In addition, the proposed method synthesizes flicker-free video.

A Study on the Stereoscopic Infrared Image Enhancement (스테레오 적외선영상의 이미지 향상에 관한 연구)

  • 류재훈;김윤호;류광렬
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.3
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    • pp.577-581
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    • 2003
  • The 3D infrared image enhancement with Stereoscopic algorithm on still infrared image is presented. The adapted stereoscopic method is that the depth is extracted by comparison with right-left image, and the enhanced 3D infrared image by matching based on feature is realized. As the result of experiment this method forces a 3D infrared image by the edge lines to be more smooth.

Inspection of Calandria Reactor Area of Wolsung NPP using Thermal Infrared and CCD Images (CCD와 적외선 열영상의 다중영상을 이용한 월성원자력발전소의 칼란드리아 전면부 점검)

  • Cho, Jai-Wan;Choi, Young-Soo;Kim, Chang-Hoi;Seo, Yong-Chil;Kim, Seung-Ho
    • Proceedings of the KIPE Conference
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    • pp.711-714
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    • 2002
  • Thermal infrared camera have poor image qualities compared to commercial CCD cameras, as in contrast, brightness, and. resolution. To compensate the poor Image quality problems associated with the thermal infrared camera, the technique of superimposing thermal infrared image into real ccd image is proposed. The mobile robot KAEROT/m2, loaded with sensor head system at the mast, is entered to monitor leakage of heavy water and thermal abnormality of the calandria reactor area in overhaul period. The sensor head system is composed of thermal infrared camera and cod camera In parallel. When thermal abnormality on observation points and areas of calandria reactor area is occurred, unusual hot image taken from thermal infrared camera is superimposed on real CCD image. In this inspection experiment, more accurate positions of thermal abnormalities on calandria reactor area can be estimated by using technique of mapping thermal infrared image into CCD image, which include characters arranged in MPOQ order.

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A Study on the Stereo Infrared Image Enhancement (스테레오 적외선영상의 이미지 향상에 관한 연구)

  • 류재훈;김윤호;류광렬
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.171-174
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    • 2003
  • This paper is a study on the 3D infrared image enhancement with Stereoscopic algorithm on still infrared image. The adapted stereo method is that the depth is extracted by comparison with right-left image, and the enhanced 3D infrared image by matching based on feature is realized. As the result of experiment this method forced the more smooth edge lines of 3D infrared images.

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Image Dehazing Algorithm Using Near-infrared Image Characteristics (근적외선 영상의 특성을 활용한 안개 제거 알고리즘)

  • Yu, Jae Taeg;Ra, Sung Woong;Lee, Sungmin;Jung, Seung-Won
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.11
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    • pp.115-123
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    • 2015
  • The infrared light is known to be less dependent on background light compared to the visible light, and thus many applications such as remote sensing and image surveillance use the infrared image. Similar to color images, infrared images can also be degraded by hazy weather condition, and consequently the performance of the infrared image-based applications can decrease. Nevertheless, infrared image dehazing has not received significant interest. In this paper, we analyze the characteristic of infrared images, especially near-infrared (NIR) images, and present an NIR dehazing algorithm using the analyzed characteristics. In particular, a machine learning framework is adopted to obtain an accurate transmission map and several post-processing methods are used for further refinement. Experimental results show that the proposed NIR dehazing algorithm outperforms the conventional color image dehazing method for NIR image dehazing.

Infrared Image Enhancement Using A Histogram Partition Stretching and Shrinking Method (히스토그램 분할 펼침과 축소 방법을 이용한 적외선 영상 개선)

  • Jung, Min Chul
    • Journal of the Semiconductor & Display Technology
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    • v.14 no.4
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    • pp.50-55
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    • 2015
  • This paper proposes a new histogram partition stretching and shrinking method for infrared image enhancement. The proposed method divides the histogram of an input image into three partitions according to its mean value and standard deviation. The method stretches both the dark partition and the bright partition of the histogram, while it shrinks the medium partition. As the result, both the dark part and the bright part of the image have more brightness levels. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using various infrared images. The results show that the proposed algorithm is successful for the infrared image enhancement.