• 제목/요약/키워드: Night image

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From Tradition to National Trend: A New Strategy for Creating Brand Image of Night Market from the Perspective of Regional Culture -Take night markets in Changzhou, China as an example

  • Pu, Xi
    • International Journal of Advanced Culture Technology
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    • 제11권4호
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    • pp.210-215
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    • 2023
  • As a public space providing night commercial services, night market represents the regional culture of a region or city to a certain extent. With the development of material economy and the continuous improvement of spiritual civilization, the modern night market has also begun to show some new changes. is an important strategy for the development and transformation of modern night market to build the brand image of night market and turn the traditional night market into a new "national tide" night market". Based on the regional cultural perspective, this paper takes many night markets in Changzhou, China as the object of study, and aims to summarize the effective ways to construct a new night market image. We are designed the following conclusions. The first is to deploy rational and unique features. The second is to enrich the business style and to perfect matching. The third is to regulate management and promote multiple effects. Therefore, it is expected that a new strategy will be proposed to create a night market brand image from a local cultural perspective.

프레임 차와 톤 매핑을 이용한 저조도 영상 향상 (Low-light Image Enhancement Based on Frame Difference and Tone Mapping)

  • 정윤주;이영학;심재창;정순기
    • 한국멀티미디어학회논문지
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    • 제21권9호
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    • pp.1044-1051
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    • 2018
  • In this paper, we propose a new method to improve low light image. In order to improve the image quality of a night image with a moving object as much as the quality of a daytime image, the following tasks were performed. Firstly, we reduce the noisy of the input night image and improve the night image by the tone mapping method. Secondly, we segment the input night image into a foreground with motion and a background without motion. The motion is detected using both the difference between the current frame and the previous frame and the difference between the current frame and the night background image. The background region of the night image takes pixels from corresponding positions in the daytime image. The foreground regions of the night image take the pixels from the corresponding positions of the image which is improved by the tone mapping method. Experimental results show that the proposed method can improve the visual quality more clearly than the existing methods.

Vehicle Detection at Night Based on Style Transfer Image Enhancement

  • Jianing Shen;Rong Li
    • Journal of Information Processing Systems
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    • 제19권5호
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    • pp.663-672
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    • 2023
  • Most vehicle detection methods have poor vehicle feature extraction performance at night, and their robustness is reduced; hence, this study proposes a night vehicle detection method based on style transfer image enhancement. First, a style transfer model is constructed using cycle generative adversarial networks (cycleGANs). The daytime data in the BDD100K dataset were converted into nighttime data to form a style dataset. The dataset was then divided using its labels. Finally, based on a YOLOv5s network, a nighttime vehicle image is detected for the reliable recognition of vehicle information in a complex environment. The experimental results of the proposed method based on the BDD100K dataset show that the transferred night vehicle images are clear and meet the requirements. The precision, recall, mAP@.5, and mAP@.5:.95 reached 0.696, 0.292, 0.761, and 0.454, respectively.

Reflectance estimation for infrared and visible image fusion

  • Gu, Yan;Yang, Feng;Zhao, Weijun;Guo, Yiliang;Min, Chaobo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권8호
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    • pp.2749-2763
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    • 2021
  • The desirable result of infrared (IR) and visible (VIS) image fusion should have textural details from VIS images and salient targets from IR images. However, detail information in the dark regions of VIS image has low contrast and blurry edges, resulting in performance degradation in image fusion. To resolve the troubles of fuzzy details in dark regions of VIS image fusion, we have proposed a method of reflectance estimation for IR and VIS image fusion. In order to maintain and enhance details in these dark regions, dark region approximation (DRA) is proposed to optimize the Retinex model. With the improved Retinex model based on DRA, quasi-Newton method is adopted to estimate the reflectance of a VIS image. The final fusion outcome is obtained by fusing the DRA-based reflectance of VIS image with IR image. Our method could simultaneously retain the low visibility details in VIS images and the high contrast targets in IR images. Experiment statistic shows that compared to some advanced approaches, the proposed method has superiority on detail preservation and visual quality.

Blind Quality Metric via Measurement of Contrast, Texture, and Colour in Night-Time Scenario

  • Xiao, Shuyan;Tao, Weige;Wang, Yu;Jiang, Ye;Qian, Minqian.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권11호
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    • pp.4043-4064
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    • 2021
  • Night-time image quality evaluation is an urgent requirement in visual inspection. The lighting environment of night-time results in low brightness, low contrast, loss of detailed information, and colour dissonance of image, which remains a daunting task of delicately evaluating the image quality at night. A new blind quality assessment metric is presented for realistic night-time scenario through a comprehensive consideration of contrast, texture, and colour in this article. To be specific, image blocks' color-gray-difference (CGD) histogram that represents contrast features is computed at first. Next, texture features that are measured by the mean subtracted contrast normalized (MSCN)-weighted local binary pattern (LBP) histogram are calculated. Then statistical features in Lαβ colour space are detected. Finally, the quality prediction model is conducted by the support vector regression (SVR) based on extracted contrast, texture, and colour features. Experiments conducted on NNID, CCRIQ, LIVE-CH, and CID2013 databases indicate that the proposed metric is superior to the compared BIQA metrics.

BS 프리즘을 이용한 주야 조준경 개발 (Development of Day and Night Scope with BS Prism)

  • 이동희
    • 한국안광학회지
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    • 제19권3호
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    • pp.339-344
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    • 2014
  • 목적: 본 연구는 BS 프리즘의 반사면을 이용한 주야 조준경의 개발에 관한 것이다. 방법: BS(beam splitting) 프리즘의 반사면의 상하에 도트시표발생부와 LCD 패널을 배치하고, BS 프리즘 전방에는 doublet 형태로 설계된 반사경을 배치하였다. 이렇게 함으로서 도트시표 발생부에서의 도트시표 허상을 관찰자 쪽에 결상시키도록 하는 기능, 외부 목표물 주변부의 정보는 관찰자에게 1배로 보이도록 하는 기능과 LCD 패널의 영상을 직접 관찰자가 볼 수 있게 하는 기능을 가진 새로운 형태의 BS 프리즘을 이용한 주야 조준경을 개발하였다. 결과: BS 프리즘의 반사면이 도트 시표를 반사시키는 도트사이트로서의 역할과 LCD 패널에 디스플레이된 야간 열영상을 관찰자가 관찰할 수 있도록 하는 반사 광학계 역할을 하도록 함으로써 주간에는 도트사이트로서 주간조준경 기능을, 야간에는 열영상 디스플레이 장치로서 야간조준경 기능을 하는 주야 조준경 장치를 개발하였다. 결론: 본 연구에서 우리는 기존의 도트사이트와 기존의 야간조준경을 BS 프리즘을 이용하여 결합함으로서 선택적으로 주야 조준경 역할을 할 수 있는 주야 조준경을 개발하였다. 이렇게 함으로써 우리는 기존의 도트사이트와 야간조준경의 착탈식 조합보다 사격의 신속성을 더욱 높일 수 있으며 총기류에의 장착에 있어서 보다 편리함을 제공해주는 새로운 형태의 BS 프리즘을 이용한 주야 조준경을 설계 개발할 수 있었다.

Image Enhancement Technology for Improved Object Recognition in Car Black Box Night

  • Lee, Kyedoo;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
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    • 제6권3호
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    • pp.168-174
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    • 2017
  • Videos recorded on surveillance cameras or by car black boxes at night have distorted images due to illumination variation. Therefore, it is difficult to analyze morphological characteristics of objects, and it is limiting to use such distorted images as evidence in traffic accidents. Image restoration is performed by amplifying the brightness of nighttime images using linearized gamma correction to increase their contrast (which destroys visual information) and by minimizing degradation factors caused by irregular traveling.

Day and night license plate detection using tail-light color and image features of license plate in driving road images

  • Kim, Lok-Young;Choi, Yeong-Woo
    • 한국컴퓨터정보학회논문지
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    • 제20권7호
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    • pp.25-32
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    • 2015
  • In this paper, we propose a license plate detection method of running cars in various road images. The proposed method first classifies the road image into day and night images to improve detection accuracy, and then the tail-light regions are detected by finding red color areas in RGB color space. The candidate regions of the license plate areas are detected by using symmetrical property, size, width and variance of the tail-light regions, and to find the license plate areas of the various sizes the morphological operations with adaptive size structuring elements are applied. Finally, the plate area is verified and confirmed with the geometrical and image features of the license plate areas. The proposed method was tested with the various road images and the detection rates (precisions) of 84.2% of day images and 87.4% of night images were achieved.

야간가로경관의 이미지에 대한 주관적 반응 평가 (A Evaluation of the Subjective Responses on Image of Night Streetscape)

  • 안현태;최윤석;정인영;김정태
    • 조명전기설비학회논문지
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    • 제21권3호
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    • pp.1-10
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    • 2007
  • 동아시아의 국제도시로서 서울은 활기찬 야경분위기를 자랑하고 있다. 형형색색의 간판과 옥외조명등이 주요야경요소를 구성하고 있다. 본 연구에서는 서울의 도심야경을 분석하기 위하여 주요도심가로를 분석하여 지역과 도심야경요소를 각각 특징 있게 표현하는 4곳을 최종적으로 선정하여 촬영 후, 슬라이드를 작성하였다. 이후 도심의 야간가로경관의 이미지에 대한 주관적인 반응을 분석하기 위하여 설문조사를 실시하였다. SPSS 10.0통계프로그램을 사용하여 설문조사결과를 분석하였고, 프로파일분석, 요인분석, 상관관계분석, 분산분석등이 통계기법으로 사용되었다. 연구결과에 따르면, 야간가로경관 4(상업 및 업무중심지구의 야간가로경관)는 흥미롭고 활발한 야경이미지를 보였으며 야간가로경관 1(경관조명이 되고 있는 쇼핑지역의 고층건물 야간가로경관)은 아름답고 조화로운 이미지를 나타내고 있다. 요인분석결과, '조화로운'과 '활기찬'이 대표적인 요인명으로 명명되었다. '정돈됨'에 관한 변수는 '조화로움'에 관한 변수에 가장 밀접한 상관관계를 나타내고 있으며, '따뜻하다'에 대한 변수를 제외한 모든 변수에서 야간가로경관들 사이에 평균값의 차이를 나타내고 있으며, 그중 '아름다움'에 관한 변수가 야간가로경관별고 평균값의 차이가 가장 큰 것으로 나타났다.

Color Enhancement in Images with Single CCD camera in Night Vision Environment

  • Hwang, Wonjun;Ko, Hanseok
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.58-61
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    • 2000
  • In this paper, we describe an effective method to enhance the color night images with spatio-temporal multi-scale retinex focused to the Intelligent Transportation System (ITS) applications such as in the single CCD based Electronic Toll Collection System (ETCS). The basic spatial retinex is known to provide color constancy while effectively removing local shades. However, it is relatively ineffective in night vision enhancement. Our proposed method, STMSR, exploits the iterative time averaging of image sequences to suppress the noise in consideration of the moving vehicles in image frame. In the STMSR method, the spatial term makes the dark images distinguishable and preserves the color information day and night while the temporal term reduces the noise effect for sharper and clearer reconstruction of the contents in each image frame. We show through representative simulations that incorporating both terms in the modeling produces the output sequential images visually more pleasing than the original dim images.

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