• Journal of Biosystems Engineering
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• 제20권1호
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• pp.95-103
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• 1995

A series of study has been conducted to develop a multi-purpose fruit grader using a black ＆ white image processing system equipped with a 550 nm interference filter. A device and high performance algorithms were developed for sizing and color grading of Fuji apple in the previous study. In this study an emphasis was put on finding correlations between weights of several kinds of fruits and their area fractions(AF), and on compensating the blurring effect upon sizing and color grading by conveying speed of fruit. Also, the effect of orientation and direction of fruit on conveyor during image forming was analyzed to identify any difficulty (or utilizing an automatic fruit feeder. The results are summarized as follows. 1. The correlation coefficients(r) between the weights of fruits and their image sizes were 0.984~0.996 for apples, 0.983~0.990 for peachs, 0.995 for tomato, 0.986 for sweet persimmon and 0.970~0.993 for pears. 2. It was possible to grade fruits by color with the area weighted mean gray values(AWMGV) based on the mean gray valves of direct image and the compensated values of reflected image of a fruit, and also possible to sort fruits by size with AF. Accuracies in sizing and color grading ranged over 81.0% ~95.0% and 82.0% ~89.7% respectively as compared with results from sizing by electronic weight scale and grading by expert. 3. The blurring effect on the sizing and color grading depending on conveying speed was identified and regression equations were derived. 4. It was found that errors in sizing and coloring grading due to the change in direction and orientation of Fuji apple on the conveyor were not significant as far as the stem end of apple keeping upward.

• 대한전자공학회논문지SP
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• 제40권1호
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• pp.79-86
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• 2003

본 논문에서는 블록 변화된 영상의 블록 환상을 제거하기 위해 POCS(Projection Onto Convex Set) 이론을 바탕으로 하는 적응 양자화 체한 집합을 제안한다. POCS 이론을 바탕으로 하는 블록 현상 제기 기법은 크게 부드러움 제한 집합과 양자화 제한 집합으로의 반복적인 투영을 동해 이루어진다. 기존의 양자화 제한 집합은 원 영상의 데이터가 가질 수 있는 최대 구간을 지정해 주므로 반복이 계속될수록 over-blurring 현상이 심화된다. 제안한 양자화 제한 집합은 이산 여현 변환(DCT) 계수의 특성에 파라 적응적으로 제한 구간을 조절하므로 복호화된 영상의 선명도를 유지하면서 동시에 효과적으로 블록 현상을 제거할 수 있다. 기존의 후처리 알고리즘의 양자화 제한 집합을 제안한 적응적 양자화 제한 집합으로 대체하여 실험을 수행한 결과 적은 반복 횟수로도 수령에 도달하였고 후처리 된 영상 역시 선명도를 유지하면서 블록 현상이 효과적으로 제거되었음을 알 수 있었다.

• Current Optics and Photonics
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• 제8권3호
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• pp.215-224
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• 2024

In medium- and long-range optical imaging systems, atmospheric turbulence causes blurring and distortion of images, resulting in loss of image information. An image-restoration method based on an adaptive feature-fusion multi-input-multi-output (MIMO) dense U-shaped network (Unet) is proposed, to restore a single image degraded by atmospheric turbulence. The network's model is based on the MIMO-Unet framework and incorporates patch-embedding shallow-convolution modules. These modules help in extracting shallow features of images and facilitate the processing of the multi-input dense encoding modules that follow. The combination of these modules improves the model's ability to analyze and extract features effectively. An asymmetric feature-fusion module is utilized to combine encoded features at varying scales, facilitating the feature reconstruction of the subsequent multi-output decoding modules for restoration of turbulence-degraded images. Based on experimental results, the adaptive feature-fusion MIMO dense U-shaped network outperforms traditional restoration methods, CMFNet network models, and standard MIMO-Unet network models, in terms of image-quality restoration. It effectively minimizes geometric deformation and blurring of images.

• 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.

• Journal of Multimedia Information System
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• 제4권2호
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• pp.65-73
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• 2017

This paper proposes a method to improve the image quality by designing Unsharp Mask Filter (UMF) based on Retinex theory which controls the frequency pass characteristics adaptively. Conventional unsharp masking technique uses blurring image to emphasize sharpness of image. Unsharp Masking(UM) adjusts the original image and sigma to obtain a high frequency component to be emphasized by the difference between the blurred image and the high frequency component to the original image, thereby improving the contrast ratio of the image. In this paper, we design a Unsharp Mask Filter(UMF) that can process the contrast ratio improvement method of Unsharp Masking(UM) technique with one filtering. We adaptively process the contrast ratio improvement using Unsharp Mask Filter(UMF). We propose a method based on Retinex theory for adaptive processing. For adaptive filtering, we control the weights of Unsharp Mask Filter(UMF) based on the human visual system and output more effective results.

• Current Optics and Photonics
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• 제8권4호
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• pp.391-398
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• 2024

An image reconstruction algorithm is vital for the image quality of a photonic integrated interferometric imaging (PIII) system. However, image reconstruction algorithms have limitations that always lead to degraded image reconstruction. In this paper, a novel image reconstruction algorithm based on deep learning is proposed. Firstly, the principle of optical signal transmission through the PIII system is investigated. A dataset suitable for image reconstruction of the PIII system is constructed. Key aspects such as model and loss functions are compared and constructed to solve the problem of image blurring and noise influence. By comparing it with other algorithms, the proposed algorithm is verified to have good reconstruction results not only qualitatively but also quantitatively.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1996년도 학술대회
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• pp.233-236
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• 1996

A new method of blocking effects reduction is proposed in this paper for use in low bitrate image coding. We use 28 DCT kernel functions of which boundary values are linearly independent, and Gram-Schmidt process is applied to the boundary values in order to obtain 28 boundary-orthonormal basis images. Then we use these basis images to obtain the correction terms for blocking artifacts reduction. A threshold of block discontinuity is introduced for improvement of visual quality by reducing image blurring. We also investigate the number of basis images needed for efficient blocking artifacts reduction when the compression ratio changes.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 춘계학술발표대회
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• pp.357-360
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• 2007

초해상도 영상 복원은 저해상도 이미지를 고해상도 이미지로 변환하는 기술이다. 저해상도를 고해상도로 변환 시 정보가 없는 화소에 대한 정확한 화소값을 예측하는 보간법을 이용하게 되며 영상의 스케일링에 따른 앨리어싱 (aliasing) 이 발생하는 문제를 해결해야 한다. 본 논문에서는 Sobel 연산자를 통해 구한 에지 성분의 크기와 방향성을 이용하여, 초해상도 영상의 앨리어싱과 블러링(blurring) 을 줄이는 기법을 제안한다.

• 한국통신학회:학술대회논문집
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• 한국통신학회 1991년도 추계종합학술발표회논문집
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• pp.77-80
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• 1991

This paper proposes a new feature extraction method which is effectively used in character recognition, and validate the effectiveness through various computational methods for similiarity degree. To get feature vectors used in this method, Hough transform is applied to character image, which is used for edge extraction in image processing. By that transformation technique, strokes could be extracted and feature vectors constructed suitably. The characteristic of this method is solving the difficulties in stroke extraction through transform space analysis, which is induced by noise and blurring, and representing high recognition rate 99.3% within 10 candidates in relative low dimension.

• 한국통신학회논문지
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• 제25권7A호
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• pp.1006-1016
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• 2000

본 논문은 뇌의 자기공명영상에서 백질과 회백질 및 뇌척수액을 분리하고 각각의 체적을 산철하기 위한 것이다. 본 연구는 먼저 뇌의 자기공명영상에서 영상의 배경을 제거한 후 외피 및 지방층으로부터 뇌 영역 전체를 분리하였으며, 부분체적의 문제(partial volume artifact)에 의해 명암 값의 번짐 현상을 보이는 뇌의 내부 영역에서 자기 공명영상의 생성원리를 근거로 명암 값의 산술적인 해석을 통해 원래의 단면 안에 존재하던 각 성분의 부분체적을 산출하였다. 산출된 백질과 회백질 및 뇌척수액의 부분체적은 번짐 현상을 보이는 자기공명영상에서 각 성분을 분리하기 위한 판별값을 경정하기 위해 사용되었고, 최종적으로 백질과 회백질 및 뇌척수액의 체적을 산출하도록 하였다. 본 연구는 뇌의 위축을 보이지 않는 정상인의 자기공명영상을 대상으로 하였으며, 향후 이러한 연구 결과는 알쯔하이머 병이나 뇌성마비등과 같은 퇴행성 뇌 질환 환자의 뇌 위축정도를 객관적으로 진단하는 방법으로 사용 될 수 있다.