• 대한치과교정학회지
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• 제32권1호통권90호
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• pp.59-69
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• 2002

본 연구는 측모두부방사선규격사진의 디지털 영상을 enhancement하였을 때 계측점 설정의 재현도를 비교 평가하여 두부방사선사진 계측점 설정에 도움이 되고자 시행되었다. 10명의 측모두부방사선규격사진을 촬영하여 컴퓨터에 입력하고 Quick Ceph Image Pro$^{TM}$에서 gray-scale equalization number를 50으로, detail enhancement number를 50으로 설정하여 방사선상을 4단계까지 enhancement하였다. 5명의 조사자가 모니터 상에서 32개의 계측점을 설정하고 방사선상의 각 enhancement 단계에서 각 계측점에 대해 5명의 조사자가 설정한 점과 이 점들의 중심점간의 거리인 편위량으로 조사자간 계측점 설정의 재현도를 비교 평가하여 다음과 같은 결과를 얻었다. 1. Enhancement를 하지 않은 방사선상에서 조사자간 재현도는 계측점에 따라 다양하게 나타났다. 2. 방사선상 enhancement 따른 계측점의 편위량을 비교한 결과, 5개의 계측점에서 방사선상의 enhancement 단계간에 조사자간 계측점 설정의 재현도가 통계적으로 유의한 차이를 보였다. 3. 계측점 pterygomaxillary fissure는 enhancement 단계 1과 2의 방사선상에서, 계측점 Posterior nasal spine은 enhancement 단계 1의 방사선상에서, 계측점 menton은 enhancement 단계 2, 3과 4의 방사선상에서 조사자간 계측점 설정의 재현도가 enhancement하지 않은 영상에 비하여 높게 나타났다. 이상의 결과로 모니터 상에서 측모두부방사선규격사진의 계측점 설정시 디지털 방사선상의 enhancement를 통하여 일부 계측점에서 재현도를 증가시킬 수 있음을 알 수 있었다.

• 한국의류학회지
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• 제30권1호
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• pp.59-70
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• 2006

This study has analyzed females' motives and psychological experiences related to appearance-enhancement seeking behavior(weight control practice and cosmetic surgery). In this study, in-depth interviews were carried out to 11 females who had experienced weight control practices and cosmetic surgery in June 2001. There is social standard in ideal body image. One perceive a physical idea and own body through society(mass media, reference group), others and clothing, and recognize the ideal body and internalize the social standard as own worth. The discrepancies between ideal body image internalized as standards of own worth and real body image became a setup for body dissatisfaction. Increasing in body dissatisfaction, rejection of own body grow, furthermore body is perceived with distortion. In order to remove a negative body image and to reach ideal body image, appearance-enhancement seeking behavior such as weight control and cosmetic surgery is made. By appearance enhancing, one come to closer to ideal image of which one pursuit oneself. Therefore body satisfaction feeling increase, self·esteem rise, manner of life and character change to with affirmation. Otherwise, strengthening of appearance-concern and of appearance enhancement seeking desire has the possibility of developing into bulimia and cosmetic surgery addiction. Also, the standard of beauty in appearance rise by degrees, and that produces motives of appearance-enhancement seeking behavior.

• 반도체디스플레이기술학회지
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• 제14권4호
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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.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2007년도 7th International Meeting on Information Display 제7권1호
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• pp.1035-1038
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• 2007

In this paper, we propose a color image improvement method. The proposed algorithms are classified with the adaptive contrast stretching method for contrast enhancement and the adaptive saturation enhancement method for saturation enhancement. The adaptive contrast stretching method is to compensate a significant change of brightness while luminance is processed. The adaptive saturation enhancement method inhibits its saturation from de-saturation and oversaturation while chrominance is processed. The proposed algorithms are focused on a preference color processing in order to generate better image quality than the algorithms focused on a uniform color processing for human vision.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2003년도 춘계종합학술대회
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• pp.192-195
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• 2003

본 논문은 적외선 영상에 B-스플라인 웨이블릿 변환을 적용하여 의사컬러 이미지를 향상시킨 연구이다. 의사컬러 향상은 주파수 손실을 최소화하고 분해능을 향상시키기 위해 B-스플라인을 적용하였고, 웨이블릿 변환하여 RGB 영상을 추출하여 의사변환 하였다. B-스플라인 웨이블릿 변환은 일반적인 웨이블릿 변환에 비해 3dB이상 향상되었다.

• Imaging Science in Dentistry
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• 제44권1호
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• pp.31-35
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• 2014

Purpose: This study was performed to investigate the effect of image enhancement of periapical radiographs according to the diagnostic task. Materials and Methods: Eighty digital intraoral radiographs were obtained from patients and classified into four groups according to the diagnostic tasks of dental caries, periodontal diseases, periapical lesions, and endodontic files. All images were enhanced differently by using five processing techniques. Three radiologists blindly compared the subjective image quality of the original images and the processed images using a 5-point scale. Results: There were significant differences between the image quality of the processed images and that of the original images (P< 0.01) in all the diagnostic task groups. Processing techniques showed significantly different efficacy according to the diagnostic task (P< 0.01). Conclusion: Image enhancement affects the image quality differently depending on the diagnostic task. And the use of optimal parameters is important for each diagnostic task.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2001년도 춘계학술대회논문집:21세기 신지식정보의 창출
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• pp.311-317
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• 2001

The study on Shilla monumental inscription has beer accomplished by many historians. However, the research on enhancement of monumental inscription image using digital image processing technique is not sufficient. The preprocessing using computer is needed fur accurate interpretation of history. In this paper, digital image enhancement algorithm based on mathematical morphology for noise reduction and character clearness is proposed. In the experiment, the subjective image quality is improved using the proposed algorithm.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2002년도 추계학술대회 및 정기총회
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• pp.317-320
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• 2002

In this paper, an automatic histogram specification method is proposed for image enhancement, Fuzzy membership value is adopted for the representation of image histogram. The desired PDF is automatically constructed by the fuzzy membership value. Fuzzy membership value is extracted from dark membership, bright membership function and original histogram. The effectual results are demonstrated by desired PDF which meet the image enhancement requirements. The performance and effectiveness are shown by the analysis and the resultant image in comparison with histogram equalization method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.3245-3271
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• 2016

To obtain well-dehazed images at the receiver while sustaining low bit rates in the transmission pipeline, this paper investigates the effects of image dehazing methods using dehazing contrast-enhancement filters on image compression for surveillance systems. At first, this paper proposes a novel image dehazing method by using a new method of calculating the transmission function—namely, the direct denoising method. Next, we deduce the dehazing effects of the direct denoising method and image dehazing method based on dark channel prior (DCP) on image compression in terms of ringing artifacts and blocking artifacts. It can be concluded that the direct denoising method performs better than the DCP method for decompressed (reconstructed) images. We also improve the direct denoising method to obtain more desirable dehazed images with higher contrast, using the saliency map as the guidance image to modify the transmission function. Finally, we adjust the parameters of dehazing contrast-enhancement filters to obtain a corresponding composite peak signal-to-noise ratio (CPSNR) and blind image quality assessment (BIQA) of the decompressed images. Experimental results show that different filters have different effects on image compression. Moreover, our proposed dehazing method can strike a balance between image dehazing and image compression.

• 한국멀티미디어학회논문지
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• 제23권2호
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• pp.135-145
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• 2020

Recently, deep-learning based methods for low-light image enhancement accomplish great success through supervised learning. However, they still suffer from the lack of sufficient training data due to difficulty of obtaining a large amount of low-/normal-light image pairs in real environments. In this paper, we propose an unsupervised learning approach for single low-light image enhancement using the bright channel prior (BCP), which gives the constraint that the brightest pixel in a small patch is likely to be close to 1. With this prior, pseudo ground-truth is first generated to establish an unsupervised loss function. The proposed enhancement network is then trained using the proposed unsupervised loss function. To the best of our knowledge, this is the first attempt that performs a low-light image enhancement through unsupervised learning. In addition, we introduce a self-attention map for preserving image details and naturalness in the enhanced result. We validate the proposed method on various public datasets, demonstrating that our method achieves competitive performance over state-of-the-arts.