• 한국멀티미디어학회논문지
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• 제19권9호
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• pp.1679-1689
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• 2016

Recently, due to the rapid development of multimedia technologies, as image data has been extensive and large-scaled, the problem of increasing the time needed to retrieve the desired image is gradually critical. Image retrieval system that allows users to quickly and accurately search for the desired image information has been researched for a long time. However, in the case of content-based image retrieval representative Color Histogram, Color Coherence Vectors (CCV), Scale Invariant Feature Transform (SIFT) used in sensitive to changes in brightness, rotation, there is a problem that can occur misrecognized division off the power. In this paper, in order to evaluate the video retrieval system proposed, no change in brightness, respectively 0°, 90°, 180°, 270° rotated brightness up based on the case of changing, when the brightness down the results were compared with the performance evaluation of the system is an average of about 2% to provide the difference in performance due to changes in brightness, color histogram is an average of about 12.5%, CCV is an average of about 12.25%, it appeared in the SIFT is an average of about 8.5%, Thus, the proposed system of the variation width of the smallest in average about 2%, was confirmed to be robust to changes in the brightness and rotation than the existing systems.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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• pp.844-847
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• 2003

Display devices are becoming increasingly important as an interface between humans and machines in the growing information society. In display devices, PDP (Plasma Display Panel) has many advantages in that it has wide screen, wide viewing angle and is light weight, thin. In PDP driving method, if the brightness of input image is high, applying the fixed sustain pulse to the PDP panel will raise the PDP power consumption and may damages the PDP panel. To overcome these problems, the Plasma AI driving method was introduced by the Matshushita co. in Japan. The Plasma AI driving module calculates the peak value and average value of 1 frame image and adjusts the gradation and sustain pulses for 1 frame sustain. In this paper, the proposed PDP driving module is based on the Plasma AI driving module. The proposed driving module calculates peak value and average value, and the brightness distribution of 1 frame image. Using brightness distribution, the proposed driving module divides 1 frame input image into 15 image patterns. For each image pattern, minimum sustain pulses and sub-frames are used for the brightness of 1 frame image and the sustain weight for 64, 128, 192 gradation is proposed. Therefore, the sustain power consumption can be reduced.

• Journal of information and communication convergence engineering
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• 제22권1호
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• pp.70-79
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• 2024

Bad weather conditions such as haze lead to a significant lack of visibility in images, which can affect the functioning and reliability of image processing systems. Accordingly, various single-image dehazing (SID) methods have recently been proposed. Existing SID methods have introduced effective visibility improvement algorithms, but they do not reflect the image's perspective, and thus have limitations that distort the sky area and nearby objects. This study proposes a new SID method that reflects the sense of space by defining the correlation between image brightness and haze. The proposed method defines the haze intensity by calculating the airlight brightness deviation and sets the weight factor of the depth map by classifying images based on the defined haze intensity into images with a large sense of space, images with high intensity, and general images. Consequently, it emphasizes the contrast of nearby images where haze is present and naturally smooths the sky region to preserve the image's perspective.

• Imaging Science in Dentistry
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• 제35권1호
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• pp.41-46
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• 2005

Purpose : The purpose of this study was to investigate whether the fractal dimension and radiographic image brightness of periapical radiograph were useful in predicting osteoporosis. Materials and Methods : Ninety-two postmenopausal women were classified as normal, osteopenia and osteoporosis group according to the bone mineral density of lumbar vertebrae and periapical radiographs of both mandibular molar areas were taken. The ROIs of 358 areas were selected at periapical and interdental areas and fractal dimension and radiographic image brightness were measured. Results : The fractal dimension in normal group was significantly higher than that in osteoporosis group at periapical ROI (P < 0.05). The radiographic image brightness in normal group was higher than that in osteopenia and osteoporosis group. There was significant difference not only between normal and osteopenia group (P < 0.05) but also within osteopenia and osteoporosis group (P< 0.01) at periapical ROI. Significant difference was observed not only between normal and osteopenia group but also between normal and osteoporosis group at interdental ROI (P< 0.01). Positive linear relationship was weakly shown at Pearson correlation analysis between fractal dimension and radiographic image brightness. BMD significantly correlated with fractal dimension at periapical ROI (P< 0.01), and BMD and radiographic image brightness significantly correlated at both periapical and interdental ROIs (P< 0.01). Conclusion : This study suggests that the fractal dimension and radiographic image brightness of periapical ROI may predict BMD. (Korean J Oral Maxillofac Radiol 2005: 35 : 41-6)

• 한국정보통신학회논문지
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• 제15권5호
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• pp.1147-1154
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• 2011

Image Signal Processor(ISP)의 한 블록인 Auto Exposure(AE)는 입력 영상의 밝기가 전체적으로 어둡거나 밝으면 적정 밝기로 조절하여 적당한 평균 밝기를 유지하는 기능을 한다. 하지만 AE는 영상의 전체 평균 밝기만 조절하기 때문에 영상의 명암대비 향상까지 기대하기는 어렵다. 특히 물체 인식이 필요한 분야에서는 ISP의 AE 만으론 명암대비가 낮은 영상에서는 물체 인식이 어려워져 명암대비 향상 기술이 필요하다. 이러한 문제를 해결하기 위해 본 논문에서는 ISP의 AE를 대체할 방법으로 Histogram Equalization(HE)를 제안한다. 또한 기존의 HE 문제점을 간단한 연산만으로 보완하고 하드웨어 구현에도 적합한 방법을 제안한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 학술대회지
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• pp.836-841
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• 2004

This paper describes ASIC design for brightness revision control, A LED Pixel Matrix (LPM) design and LPM in natural color LED vision. A designed chip has 256 levels of gradation correspond to each Red, Green, Blue LED pixel respectively, which have received 8bit image data. In order to maintain color uniformity by reducing the original rank error of LED, we adjusted the specific character value 'a' and brightness revision value 'b' to pixel unit, module unit and LED vision respectively by brightness characteristic function with 'Y=aX+b'. In this paper, if designed custom chip and brightness revision control method are applied to manufacturing of natural color LED vision, we can obtain good quality of image. Furthermore, it may decrease the cost for manufacturing LED vision or installing the plants.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2004년도 Asia Display / IMID 04
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• pp.243-246
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• 2004

In this paper, we have proposed the contrast control method using brightness preserving on the FPD(Flat Panel Display). The proposed algorithms consist of three blocks: the contrast enhancement, the white-level-expander, and the black-level-expander. The proposed method has employed probability density function in order to control the brightness of the image changed extremely. In order for real-time processing, we have calculated cumulative density function using the linear approximation method. The image histogram and image quality were compared with the conventional image enhancement algorithms. The proposed methods have been used in display devices that need image enhancement such as LCD TV, PDP, and FPD.

• 감성과학
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• 제14권1호
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• pp.49-58
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• 2011

본 연구는 스타일리시 호텔에 대한 공간이미지와 선호도에 관한 연구이며, 아울러 선행연구인 성별 및 연령에 따른 스타일리시의 언어이미지와 색채이미지에 관해 조사 결과 중 미니멀스타일배색에 대한 검증연구이다. 연구결과 성별 및 연령에 있어서 유의한 차이를 보이지 않았으며, 스타일리시 호텔의 공간이미지와 언어이미지의 상관성을 알아보고자 대표 언어를 추출한 결과, 개성적인, 감각적인, 심플한, 도시적인 등으로 인식하여 공간이미지에 대해 스타일리시하게 느끼는 것으로 파악되었다. 또한 공간이미지와 선호도에서는 로비공간의 B호텔, 식음공간의 C호텔, 객실공간의 A호텔로 나타났으며, 색채이미지와 선호도에서는 각각 고명도 저채도, 저명도 저채도로 나타났다. 이것은 선행연구의 가장 스타일리시 한 것으로 인식한 미니멀스타일배색과 동일한 결과로 응답자들은 스타일리시 호텔의 공간이미지에 대해 언어적으로는 세련되고 감각적이며 개성적인 것으로 인식하면서 시각적으로는 고명도 저채도, 저명도 저채도의 공간을 스타일리시 한 것으로 인식하고 있음이 밝혀졌다. 본 연구는 향후 스타일리시한 공간 연출 및 디자인 마케팅을 위해 새로운 디자인 방향을 제시하는 데 그 목적이 있다.

• 한국정보통신학회논문지
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• 제14권7호
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• pp.1708-1714
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• 2010

본 논문에서는 기존의 full color LED 전광판에서 일반적인 화질 개선 혹은 화질 보정의 방법으로는 감마, 휘도, 명도조절 등으로 영상의 전체적인 색상과는 상관없이 일률적으로 밝게 혹은 어둡게 처리해 왔다. 그러나 단순히 표출되는 영상 자체의 휘도를 일정 크기로 일률적으로 휘도를 조정하는 방법은 입력되는 영상 신호의 특성을 반영하지 않아 단지 화면 전체가 밝아지거나 어두워졌다는 느낌만을 줄 뿐이다. 그래서 기존의 영상 전송 방식과는 다른 새로운 기술로 LED 전광판에 입력되는 영상 데이터의 히스토그램 분석을 통해 기준 휘도 값을 결정함으로써 입력되는 영상 데이터의 특성이 반영되고, 해당 기준 휘도 값에 따라 히스토그램의 분포를 제어함으로써 LED 전광판에 표출되는 영상 휘도를 균일하게 향상시킬 수 있는 히스토그램 분포 제어가 가능한 full color 전광판의 영상 구동 처리기술을 제안하였다.

• Journal of Biosystems Engineering
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• 제38권1호
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• pp.55-63
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• 2013

Purpose: The present study aimed at image processing methods for automatic cell pattern recognition and morphological analysis for tissue engineering applications. The primary aim was to ascertain the novel algorithm of adaptive brightness correction from microscopic images for use as a potential image analysis. Methods: General microscopic image of cells has a minor problem which the central area is brighter than edge-area because of the light source. This may affect serious problems to threshold process for cell-number counting or cell pattern recognition. In order to compensate the problem, we processed to find the central point of brightness and give less weight-value as the distance to centroid. Results: The results presented that microscopic images through the brightness correction were performed clearer than those without brightness compensation. And the classification of mixed cells was performed as well, which is expected to be completed with pattern recognition later. Beside each detection ratio of hBMSCs and HeLa cells was 95% and 92%, respectively. Conclusions: Using this novel algorithm of adaptive brightness correction could control the easier approach to cell pattern recognition and counting cell numbers.