• Title/Summary/Keyword: color compensation

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Colorization Algorithm Using Wavelet Packet Transform (웨이블릿 패킷 변환을 이용한 흑백 영상의 칼라화 알고리즘)

  • Ko, Kyung-Woo;Kwon, Oh-Seol;Son, Chang-Hwan;Ha, Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.1
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    • pp.1-10
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    • 2008
  • Coloriztion algorithms, which hide color information into gray images and find them to recover color images, have been developed recently. In these methods, it is important to minimize the loss of original information while the color components are embedded and extracted. In this paper, we propose a colorization method using a wavelet packet transform in order to embed color components with minimum loss of original information. In addition, the compensation processing of color saturation in the recovered color images is achieved. In the color-to-gray process, an input RGB image is converted into Y, Cb, and Cr images, and a wavelet packet transform is applied to the Y image. After analyzing the amounts of total energy for each sub-band, color components are embedded into two sub-bands including minimum amount of energy on the Y image. This makes it possible not only to hide color components in the Y image, but to recover the Y image with minimum loss of original information. In the gray-to-color process, the color saturation of the recovered color images is decreased by printing and scanning process. To increase color saturation, the characteristic curve between printer and scanner, which can estimate the change of pixel values before and after printing and scanning process, is used to compensate the pixel values of printed and scanned gray images. In addition, the scaling method of the Cb and Cr components is applied to the gray-to-color process. Through the experiments, it is shown that the proposed method improves both boundary details and color saturation in the recovered color images.

Color Change Information Collection Using Python in The Event of Color Temperature Change (색온도 변화 시 파이썬을 이용한 색상 변화 정보의 수집)

  • Jeon, Byungil;Kim, Semin;Lee, Gyujeong;Lee, Jeongwon;Lee, Choong Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.618-620
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    • 2019
  • Smart Farm, which combines agriculture and ICT convergence technology, is at a lower stage than other industries in Korea, but it is also one of the most active research and development fields. Smart Farm aims to improve the efficiency of each step by collecting, processing and analyzing various information of agriculture sector through convergence between agriculture and ICT technology. In this study, we studied the image processing method that can distinguish strawberry which can be harvested at harvest time by color for smart farm composition of strawberry which is a horticultural crop. Strawberry harvesting requires a lot of labor in the process of growing strawberries. In this study, we aim to collect information necessary for labor saving in strawberry harvester. As a precedent study, we plan to implement a form in which the color temperature changes according to the light direction and brightness value through OpenCV color detection using Python. In the future, it is planned to study strawberry color value suitable for harvest by applying compensation value to color temperature change.

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Compensation of Correlated Color Temperature of Gray Scale in LCD (LCD의 Gray Scale 상관 색온도 보정)

  • 구병준;이상훈;정재영;한찬호;이건일;송규익
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.705-708
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    • 2000
  • 일반적인 LCD의 색 재현 특성은 입력 디지털 값이 낮을수록 gray scale의 상관색온도가 상승하여 정확한 색 재현이 불가능하다. 본 논문에서는 LCD의 입력 디지털 값의 변화에 따른 특성을 조사하고, luminance, contrast 비 등의 특성에 열화없이 gray scale의 입력 잘 변화에 따른 상관색온도의 변화를 보정하기 위해서 입력 디지털 값을 조정하는 새로운 LUT를 제안하였다.

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Achieving High Accuracy and Precision Inkjet Drop Placement Using Imperfect Components in an Imperfect Environment

  • Xu, Tianzong;Albertalli, David
    • 한국정보디스플레이학회:학술대회논문집
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    • 2006.08a
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    • pp.1660-1665
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    • 2006
  • Drop placement accuracy and precision are the critical performance values of industrial ink jet deposition systems. Imperfect components and environments have severe impacts on drop placement. Litrex has identified over 120 error sources and developed engineering solutions to address the errors. In this paper, improved results using thermal compensation and stage mapping techniques are demonstrated. A recent progress in inkjet fabrication of multi-color electrophoretic display on flexible substrate with large distortion is also demonstrated.

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MR Angiography with Simultaneous Data Acquisition of Arteries and Veins(SAAV) Method and Artery-Vein Color Mapping in 0.3T MRI System (0.3T MRI 시스템에서의 동.정맥 동시 획득을 위한 자기공명 혈류 영상 기법(SAAV)과 동.정맥 color mapping)

  • 조종운;조지연;서성만;은충기;문치웅
    • Journal of Biomedical Engineering Research
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    • v.24 no.4
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    • pp.275-280
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    • 2003
  • The method of simultaneous data acquisition of arteries and veins(SAAV) was suggested to obtain MR angiography of arteries and veins at 0.3T low filed MRI system (Magfinder, AlLab. Korea). Two separated artery- and vein-images were put together using AVCM(Artery-Vein Color Mapping) algorithm and presented in the same image. In this study, artery- and vein-separated angiograms of volunteer's neck were obtained. Two dimensioal blood-enhanced images wre sequentially obtained using SAAV pulse sequence based on time-of-flight(TOF) method with flow compensation. Imaging parameters were TR/TE=70/12msec. FOV=230mm, slice thickness = 3mm, flip angle=90$^{\circ}$, matrix size=256${\times}$256${\times}$64mm. TSat TH/SPA=15/20mm, Ts_v=10msec and Ts_a=40ms. 3D MRA images were reconstructed using the maximum intensity projection(MIP) and the artery-vein color mapping(AVCM) algorithm. This study showed good possibility of clinical applications of MRA in 0.3T which provides valuable diagnostic information of clinical vascular diseases.

ELECTROCHROMIC BEHAVIOR OF AMORPHOUS NICKELPHTHALOCYANINE THIN FILMS

  • Masui, Masayoshi;Suzuki, Masato;Kaneko, Fujio;Takeuchi, Manabu
    • Journal of the Korean institute of surface engineering
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    • v.29 no.6
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    • pp.735-738
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    • 1996
  • Amorphous nickelphthalocyanine(NiPc) thin films were prepared by vacuum evaporation and their electrochromic behavior and voltammograms were examined in the five kinds of aqueous electrolytes. Amorphous NiPc films were prepared on indium-tin-oxide(ITO) glass substrates cooled to-$120^{\circ}C$ by using liquid nitrogen under a vacuum of $2.4 \times 10^{-4}$. The voltammetric and electrochromic measurements were made using a potential galvanostat. In order to confirm the color change, optical vis-transmission spectra of the NiPc films were measured by a spectrophotometer with various electrode potential applied. The NiPc amorphous thin films exhibited most clearly electrochromism in $KNO_3$ aqueous electrolyte. The specimen films underwent 3 color transitions (from blue to yellow-green, then to red violet, then to dark blue), corresponding to the three peaks on the voltammograms in $KNO_3$ aqueous electrolyte. Blue is color of the as-prepared film. When the potential was swept, charge compensation was attained upon oxidation by injection of anions from the electrolyte and upon reduction by expulsion of anions.

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Hybrid Silhouette Extraction Using Color and Gradient Informations (색상 및 기울기 정보를 이용한 인간 실루엣 추출)

  • Joo, Young-Hoon;So, Jea-Yun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.7
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    • pp.913-918
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    • 2007
  • Human motion analysis is an important research subject in human-robot interaction (HRI). However, before analyzing the human motion, silhouette of human body should be extracted from sequential images obtained by CCD camera. The intelligent robot system requires more robust silhouette extraction method because it has internal vibration and low resolution. In this paper, we discuss the hybrid silhouette extraction method for detecting and tracking the human motion. The proposed method is to combine and optimize the temporal and spatial gradient information. Also, we propose some compensation methods so as not to miss silhouette information due to poor images. Finally, we have shown the effectiveness and feasibility of the proposed method through some experiments.

Cold persons' preference for warm persons: Effects of social exclusion on preference for persons depicted in warm colors (추운 사람의 따뜻한 사람 선호: 사회적 배제가 따뜻한 색과 연합된 사람 선호에 미치는 효과)

  • Lee, Guk-Hee
    • Korean Journal of Cognitive Science
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    • v.29 no.4
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    • pp.221-241
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    • 2018
  • Previous works have observed that persons who have experienced social exclusion have lower perceptions of body temperature and environmental temperature, and seek physical warmth such as warm drinks and warm water shower. The present study aimed to expand the results of these previous works to the dimensions of color emotions or color symbols. Hence, four experiments were conducted in which pictures of people with warm or cold colors applied to them were shown to the subjects, who were asked to evaluate the people in the pictures to determine whether their preferences changed depending on their perception of social exclusion. The results showed that the subjects with perceived social exclusion had stronger preferences for people in warm colors over those in cold colors, but the subjects without perceived social exclusion had no differences in their preferences for the people in the two types of colors. This study is significant in that it expanded the compensation hypothesis, which states that people try to compensate their psychological loss by pursuing external goals from the physical dimension to the emotional and symbolic dimensions. Furthermore, this study has implications in that it proposes the need for warm emotions in places where people who have experienced social exclusion are treated, such as psychological counseling centers.

Multiple Pedestrians Detection and Tracking using Color Information from a Moving Camera (이동 카메라 영상에서 컬러 정보를 이용한 다수 보행자 검출 및 추적)

  • Lim, Jong-Seok;Kim, Wook-Hyun
    • The KIPS Transactions:PartB
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    • v.11B no.3
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    • pp.317-326
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    • 2004
  • This paper presents a new method for the detection of multiple pedestrians and tracking of a specific pedestrian using color information from a moving camera. We first extract motion vector on the input image using BMA. Next, a difference image is calculated on the basis of the motion vector. The difference image is converted to a binary image. The binary image has an unnecessary noise. So, it is removed by means of the proposed noise deletion method. Then, we detect pedestrians through the projection algorithm. But, if pedestrians are very adjacent to each other, we separate them using RGB color information. And we track a specific pedestrian using RGB color information in center region of it. The experimental results on our test sequences demonstrated the high efficiency of our approach as it had shown detection success ratio of 97% and detection failure ratio of 3% and excellent tracking.