• ETRI Journal
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• 제31권4호
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• pp.448-450
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• 2009

In multiview imaging systems, color correction is adopted to eliminate color inconsistency between views. However, the influence of highlights on color correction has not been considered before. In this letter, a new color correction method based on highlight detection is proposed. The method is designed to treat highlight and highlight-removal regions independently when calculating correction parameters. Finial correction is implemented with a fusion mechanism. Experimental results show that the proposed method can improve objective and subjective correction performance, while achieving better coding performance than other correction methods.

• 한국멀티미디어학회논문지
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• 제25권3호
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• pp.493-501
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• 2022

This paper is a study on context-sensitive spelling error correction and uses the Korean WordNet (KorLex)[1] that defines the relationship between words as a graph to improve the performance of the correction[2] based on the vector information of the word embedded in the correction technique. The Korean WordNet replaced WordNet[3] developed at Princeton University in the United States and was additionally constructed for Korean. In order to learn a semantic network in graph form or to use it for learned vector information, it is necessary to transform it into a vector form by embedding learning. For transformation, we list the nodes (limited number) in a line format like a sentence in a graph in the form of a network before the training input. One of the learning techniques that use this strategy is Deepwalk[4]. DeepWalk is used to learn graphs between words in the Korean WordNet. The graph embedding information is used in concatenation with the word vector information of the learned language model for correction, and the final correction word is determined by the cosine distance value between the vectors. In this paper, In order to test whether the information of graph embedding affects the improvement of the performance of context- sensitive spelling error correction, a confused word pair was constructed and tested from the perspective of Word Sense Disambiguation(WSD). In the experimental results, the average correction performance of all confused word pairs was improved by 2.24% compared to the baseline correction performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권2호
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• pp.390-407
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• 2011

Three-dimensional (3D) video technologies are becoming increasingly popular, as it can provide users with high quality and immersive experiences. However, color inconsistency between the camera views is an urgent problem to be solved in multi-view imaging. In this paper, a perception-based color correction method for multi-view images is proposed. In the proposed method, human visual sensitivity (VS) and visual attention (VA) models are incorporated into the correction process. Firstly, the VS property is used to reduce the computational complexity by removing these visual insensitive regions. Secondly, the VA property is used to improve the perceptual quality of local VA regions by performing VA-dependent color correction. Experimental results show that compared with other color correction methods, the proposed method can greatly promote the perceptual quality of local VA regions greatly and reduce the computational complexity, and obtain higher coding performance.

• 한국항공우주학회지
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• 제37권4호
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• pp.372-382
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• 2009

자체 개발한 SBAS 보정정보 처리 프로그램을 이용하여 MSAS 궤도 보정정보의 정확도를 분석하고, MSAS 전리층 보정정보 대한 적도변이의 영향을 분석하였다. 또한 MSAS 보정정보의 일부분의 제거를 통해 보정정보의 수신지연으로 인한 정확도 저하와 그것이 Protection Level에 미치는 영향을 분석하였다. 그리고 국내에서 MSAS 보정정보를 이용하여 항공기 정밀접근 시 시스템의 무결성 및 가용성에 대해 분석했다.

• 아태비즈니스연구
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• 제11권4호
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• pp.271-289
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• 2020

Purpose - This paper examined the relation between Correction of Annual Reports and Earnings management. The annual reports are used as key reports for critical decision making by providing useful information to various stakeholders across the firm. Design/methodology/approach - The sequence of this study is analysed that each of the following two cases affects the earning management: 1. that corrections have been made; 2. Where financial information have been modified or non-financial information have been modified during the correction of the annual report. We draw an initial sample of firms listed on the Korea Stock Exchange from 2014 to 2017. Among these, we excluded firms that were not able to obtain the variables needed to measure the correction of Annual Reports and the earnings management. Finally, we use the 7,035 firm-year observations. Findings - Our empirical results of this study are as follows; First, it turned out that the earnings management of companies that report business reports on corrections is larger than those that do not. Second, among the types of annual report corrections, the correction of non-financial information is significantly larger on earnings management than the correction of financial information. Research implications or Originality - The correction disclosure of business reports is a very important issue in terms of accounting information accuracy and reliability. The results of this study will provide policy implications for correction disclosures and regulations due to an important issue as accounting information. An entity that initially prepares accounting information should advanced in such a way that it provides high quality accounting information and then complements and accepts it by various stakeholders.

• 한국멀티미디어학회논문지
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• 제24권10호
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• pp.1391-1402
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• 2021

This paper focuses use context-sensitive spelling error correction using generative adversarial network. Generative adversarial network[1] are attracting attention as they solve data generation problems that have been a challenge in the field of deep learning. In this paper, sentences are generated using word embedding information and reflected in word distribution representation. We experiment with DCGAN[2] used for the stability of learning in the existing image processing and D2GAN[3] with double discriminator. In this paper, we experimented with how the composition of generative adversarial networks and the change of learning corpus influence the context-sensitive spelling error correction In the experiment, we correction the generated word embedding information and compare the performance with the actual word embedding information.

• 디지털산업정보학회논문지
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• 제9권4호
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• pp.167-175
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• 2013

This study is the process of making high-definition TV broadcast color correction affects the end result comparison is focus on implement through study. In the production process and the impact on the color Correction in the video as an study for UHD, 4K, 6K video production workflow improvement of an effective program in the present and time and cost in the post production process, color correction for the final video through the production and overcome the failure of further in-efficient color correction study will help you to solve the problem. This study is the color changes over the course of the final video to see how much influence color correction of post-production. Color correction using a program of courses in Visual quality, regularly presented the possibility to retain and make on high definition video production post-production process for color correction method is utilized as the basis of study.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2006년도 공동학술대회 논문집
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• pp.221-224
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• 2006

소규모 공동 탐지를 위한 시험지역에서 시추공 편차를 고려한 탄성파 토모그래피를 수행하였다. 시추공 편차보정방법은 일정 거리를 더하는 보정과 일정 각을 시추공간 거리에 고려하는 보정을 적용하였다. 시추공 편차를 고려한 토모그래피는 영상의 왜곡을 줄일 수 있어 공동을 명확히 영상화할 수 있었으며, 일정 각을 거리에 고려하는 보정방법이 공동탐지에 가장 효과적이지만 일정 거리 보정도 만족할 만한 결과를 얻을 수 있음을 알 수 있었다.

• Journal of Positioning, Navigation, and Timing
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• 제4권1호
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• pp.33-41
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• 2015

Compact Network Real-Time Kinematic (RTK) is a method that combines compact RTK and network RTK, and it can effectively reduce the time and spatial de-correlation errors. A network RTK user receives multiple correction information generated from reference stations that constitute a network, calculates correction information that is appropriate for one's own position through a proper combination method, and uses the information for the estimation of the position. This combination method is classified depending on the method for modeling the GPS error elements included in correction information, and the user position accuracy is affected by the accuracy of this modeling. Among the GPS error elements included in correction information, tropospheric delay is generally eliminated using a tropospheric model, and a combination method is then applied. In the case of a tropospheric model, the estimation accuracy varies depending on the meteorological condition, and thus eliminating the tropospheric delay of correction information using a tropospheric model is limited to a certain extent. In this study, correction information modeling accuracy performances were compared focusing on the Low-Order Surface Model (LSM), which models the GPS error elements included in correction information using a low-order surface, and a modified LSM method that considers tropospheric delay characteristics depending on altitude. Both of the two methods model GPS error elements in relation to altitude, but the second method reflects the characteristics of actual tropospheric delay depending on altitude. In this study, the final residual errors of user measurements were compared and analyzed using the correction information generated by the various methods mentioned above. For the performance comparison and analysis, various GPS actual measurement data were collected. The results indicated that the modified LSM method that considers actual tropospheric characteristics showed improved performance in terms of user measurement residual error and position domain residual error.

• 한국컴퓨터정보학회논문지
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• 제23권1호
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• pp.67-74
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• 2018

In this paper, we propose an efficient scene based non-uniformity correction algorithm which performs the offset correction using the uniform obtained from input scenes for Infrared camera. In general, pixel outputs of a infrared detector can not be uniform. Therefore, the non-uniformity correction procedure need to be performed to make the image outputs uniform. A typical non-uniformity correction method uses a black body at the laboratory to obtain the output of the infrared detector's pixels for two temperatures, HOT and COLD, and calculates the non-uniformity correction parameters. However, output characteristics of the Infrared detector changes while the Infrared camera is operated, the fixed pattern noise of the Infrared detector and dead pixels are generated. To remove the noise, the offset correction is generally performed. The offset correction procedure usually need the additional device such as a thermo-electric cooler, shutter, or non-uniformity correction lens. Therefore, we introduce a general scene based non-uniformity correction technique without additional equipment, and then we propose an improved non-uniformity correction algorithm based on image to solve the problem of the existing technique.