• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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• pp.1393-1396
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• 2008

Image quality is one of the most important factors affecting the performance of digital displays. This paper introduces various digital image processing techniques commonly applied to digital displays. They include preferred color correction, tone reproduction, and frame rate conversion. Also, issues related to image quality evaluation are addressed.

• Current Optics and Photonics
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• 제4권3호
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• pp.200-209
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• 2020

We describe an approach that uses a bilateral filter to reduce the ringing artifact in motion-blurred restoration image. It takes into account the specific physical structure of the ringing artifact combined with the properties of the human visual system. To properly reduce the ringing artifact, each of the adjacent pixels is limited in a straight line which has a given direction. To protect the edges and the texture regions of an image, our algorithm divides the image into texture regions and flat regions, and the artifact reduction algorithm is only applied to the flat region. Finally, we use 8 typical images and 5 objective quality evaluation indices to evaluate our algorithm. Experimental results show that our algorithm can obtain better results in subjective visual effect and in objective image quality evaluation.

• 한국방사선학회논문지
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• 제10권5호
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• pp.327-335
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• 2016

본 연구는 IEC에서 제시하는 영상품질을 평가하는 조건으로는 임상적인 환경에서 디지털 방사선영상시스템(Digital Radiography System)에서의 검출기에 대한 영상품질평가를 시행하기에는 환경적인 제한점이 있기에 IEC에서 제시하는 조건과 임상검사조건을 조합한 각각의 선질에 대하여 영상품질평가를 시행한 연구입니다. 첫째, 네 가지 선질을 사용하여 MTF, NPS 영상품질평가를 하였으며, MCNPX 시뮬레이션을 이용하여 선질들에 대한 스펙트럼을 분석하여 입자 플루언스를 산정한 후 최종적으로 DQE 영상품질평가를 하였다. 둘째, 네 가지 선질들의 MCNPX 시뮬레이션을 이용하여 방사선속 밀도와 에너지, 물질의 질량에너지 흡수계수를 이용하여 전자 1 개당 공기, 물, 근육, 뼈에 대한 흡수선량률을 평가하였다. 영상품질을 평가한 결과, 네 가지 선질들의 MTF는 1.13 ~ 2.91 lp/mm 공간주파수를 나타내어 일반 X선 촬영의 진단 주파수 영역인 1.0 ~ 3.0 lp/mm를 만족하였다. NPS는 부가필터를 사용하면, 공간 주파수가 0.5 lp/mm 기준으로 NPS가 증가하다가 이후, 감소하는 경향성을 나타내었다. 부가필터 미사용하면, 공간주파수가 0.5 lp/mm 기준으로 NPS가 감소하다가 이후, 일정한 NPS 결과 값을 나타내었다. DQE는 70 kVp / unuesd added filter(21mm Al) / SID 150 cm에서 공간주파수 1.5 lp/mm 기준으로 일정한 값을 나타내다가 이후, 감소하는 경향성을 나타내었다. 나머지 선질들은 공간주파수가 증가함에 따라 감소하는 경향성을 나타내었다. 흡수선량 평가결과는 공기 < 물 < 근육 < 뼈 순서로 흡수선량이 증가함을 나타내었다. 본 연구결과를 바탕으로 다양한 임상환경에서 디지털 방사선영상시스템의 영상품질평가 방법을 제시할 수 있는 기초자료로 제공하고자 한다.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.163-177
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• 2024

The fingerprint image quality relies on the clearness of separated ridges by valleys and the uniformity of the separation. The condition of skin still dominate the overall quality of the fingerprint. However, the identification performance of such system is very sensitive to the quality of the captured fingerprint image. Fingerprint image quality analysis and enhancement are useful in improving the performance of fingerprint identification systems. A fuzzy technique is introduced in this paper for both fingerprint image quality analysis and enhancement. First, the quality analysis is performed by extracting four features from a fingerprint image which are the local clarity score (LCS), global clarity score (GCS), ridge_valley thickness ratio (RVTR), and the Global Contrast Factor (GCF). A fuzzy logic technique that uses Mamdani fuzzy rule model is designed. The fuzzy inference system is able to analyse and determinate the fingerprint image type (oily, dry or neutral) based on the extracted feature values and the fuzzy inference rules. The percentages of the test fuzzy inference system for each type is as follow: For dry fingerprint the percentage is 81.33, for oily the percentage is 54.75, and for neutral the percentage is 68.48. Secondly, a fuzzy morphology is applied to enhance the dry and oily fingerprint images. The fuzzy morphology method improves the quality of a fingerprint image, thus improving the performance of the fingerprint identification system significantly. All experimental work which was done for both quality analysis and image enhancement was done using the DB_ITS_2009 database which is a private database collected by the department of electrical engineering, institute of technology Sepuluh Nopember Surabaya, Indonesia. The performance evaluation was done using the Feature Similarity index (FSIM). Where the FSIM is an image quality assessment (IQA) metric, which uses computational models to measure the image quality consistently with subjective evaluations. The new proposed system outperformed the classical system by 900% for the dry fingerprint images and 14% for the oily fingerprint images.

• 한국콘텐츠학회논문지
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• 제12권8호
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• pp.87-95
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• 2012

본 연구는 객관적인 화질 평가 요소들과 선호도를 기반으로 한 주관적 화질 평가 모형을 구축하여 감상자들의 화질에 대한 선호도를 객관적 요소들로 분석할 수 있도록 하였다. 즉 제조사들이 이해하기 쉬운 객관적 화질 평가 요소들을 선정하고, 이와 같은 요소들을 질문하는 문항을 기반으로 하여 사진의 품질을 평가하는 방식으로 주관적 화질 평가 모형을 구축하였다. 또한 화질 평가에 사용되는 실제 사진을 일반인들이 주로 촬영하는 장면인 인물사진으로 선택하여 실험결과의 일반화와 타당성을 추구하였다. 본 실험의 주관적 화질 평가 모형을 통하여 감상자들이 선호하는 화질을 평가하고 그 결과가 최종적인 사진의 선호도에 어떠한 상관관계를 갖으며 영향을 미치는지 분석하였다. 이와 같은 상관관계 분석을 통하여 감상자가 선호하는 화질에 대해 파악하고 화질을 향상시키는 요소를 분석할 수 있었다. 그 결과 선호도와 가장 상관관계가 높은 변수는 색재현력, 다이내믹 레인지, 노이즈, 해상도 순이었으며, 인물 사진 자극의 특성상 색재현력과 선호도가 가장 높은 수준의 상관관계를 보였다. 이러한 결과는 단순 수치화된 객관적 화질 평가 요소들을 언어로 확장시켜, 선호도에 기반을 둔 주관적 화질 평가 모형을 제시함으로써 일반 사용자와 제조사 모두가 쉽게 이해할 수 있는 새로운 방식의 접근이라고 할 수 있다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.III
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• pp.715-721
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• 2000

In this research, rule and neuro net based boundary extraction algorithm was developed. Extracting boundary of the interest, lean tissue, is essential for the quality evaluation of the beef based on color machine vision. Major quality features of the beef are size, marveling state of the lean tissue, color of the fat, and thickness of back fat. To evaluate the beef quality, extracting of loin parts from the sectional image of beef rib is crucial and the first step. Since its boundary is not clear and very difficult to trace, neural network model was developed to isolate loin parts from the entire image input. At the stage of training network, normalized color image data was used. Model reference of boundary was determined by binary feature extraction algorithm using R(red) channel. And 100 sub-images(selected from maximum extended boundary rectangle 11${\times}$11 masks) were used as training data set. Each mask has information on the curvature of boundary. The basic rule in boundary extraction is the adaptation of the known curvature of the boundary. The structured model reference and neural net based boundary extraction algorithm was developed and implemented to the beef image and results were analyzed.

• 한국의류학회지
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• 제25권7호
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• pp.1203-1214
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• 2001

This study is to analyze the competition structure and the brand image in underwear market, and to examine the relationships between brand preference and evaluation criteria on purchase among the age of 20's females. The samples are composed of 591 females aged 20's in cheong-ju city. For data analysis, MDS, AVOVA, t-test were used. The results of this study are followed as; Brand group I [BYC·Try·Vicman] was positioned on the dimensions of casual/classic image, brand group II [BodyGuard·DonandDons·schaolphio·x-zon] was positioned on the dimension of casual/fashionable image, and brand group III [Wacor·Venus·Ravora] was posiotioned on the dimension of elegant image. Brand preference in group III was the highest, and brand preference had significant difference by age, occupation, and education level. Customers who prefer the group I evaluated useful and management attributes the most and customers who prefer the group II, considered economical and esthetic arributes for purchasing underwaer. Also, customers who prefer the group III, evaluated the esthetic appreciational quality, the functional quality, and the brand-symbolic quality. Also, the influence of advertisement is most effective to purchase underwears. A main source of information is the broadcast medium such as TV or radio. The main store types on purchase were types like a department store and underwear special store.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.572-576
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• 1997

X-ray laminography and DT(digital tomosynthesis) that can form a cross-sectional image of 3-D objects promise to be good solutions for inspecting interior defects of industrial products. The major factors of the digital tomosynthesis that influence on the quality of x-ray cross-sectional images are also discussed. The quality of images acquired from the DT system varies according to image synthesizing methods, the number of images used in image synthesizing, and X-ray projection angles. In this paper, a new image synthesizing method named 'log-root method' is proposed to get clear and accurate cross-sectional images, which can reduce both artifact and blurring generated by materials out of focal plane. To evaluate the quality of cross-sectional images, two evaluating criteria: (1) shape accuracy and (2) clearness in the cross-sectional image are defined. Based on this criteria, a series of simulations were performed, and the results show the superiority of the new synthesizing method over the existing ones such as averaging and minimum method.

• 전기전자학회논문지
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• 제22권3호
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• pp.585-589
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• 2018

Consumer demand for high quality image/video services led to growing trend in image quality enhancement study. Therefore, recent years was a period of substantial progress in this research field. Through careful observation of the image quality after processing by image enhancement algorithms, we perceived that the dark region in the image usually suffered loss of contrast to a certain extent. In this paper, the low-light stretch preprocessing algorithm is, hence, proposed to resolve the aforementioned issue. The proposed approach is evaluated qualitatively and quantitatively against the well-known histogram equalization and Photoshop curve adjustment. The evaluation results validate the efficiency and superiority of the low-light stretch over the benchmarking methods. In addition, we also propose the 255MHz-capable hardware implementation to ease the process of incorporating low-light stretch into real-time imaging systems, such as aerial surveillance and monitoring with drones and driving aiding systems.

• 한국멀티미디어학회논문지
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• 제16권8호
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• pp.934-942
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• 2013

영상 크기 변환은 응용 환경에서의 다양한 목적을 위하여 사용되며, 변환 함수의 성능을 평가하기 위하여 처리전과 후의 두 영상의 화질을 비교한다. 변환 함수의 객관적 성능 평가를 위하여 화질 비교의 정확한 지표가 요구되며, 실제 다양한 관점에서의 접근이 이루어졌다. 하지만 영상 크기 변환 과정에서 생략되거나 새롭게 생성되는 화소들의 위치를 고려한 화질 비교 척도에 관한 연구는 거의 이루어지지 않고 있다. 따라서 본 논문에서는 영상 크기 변환에서 발생하는 화소들의 생략 및 추정 위치를 고려한 객관적 영상 화질 측정방법을 제안한다. 제안하는 방법은 기존의 영상 화질 척도를 이용하여 위치 변화를 고려한 새로운 영상화질 측정 방법을 만들고, 위치 변화에 대한 민감도를 평가하였다. 실험을 통해서 기존에 널리 사용되는 영상 화질 측정 방법이 화소들의 생략 및 추정 위치의 변화에 많은 영향을 받는 것을 알 수 있었고, 제안하는 방법이 화소들의 생략 및 추정 위치 변화를 고려한 영상 화질 표현의 객관적 척도임을 확인하였다. 제안하는 방법은 영상 복원 및 개선 함수의 성능을 평가하는 척도로서 유용하게 사용될 수 있다.