• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.387-388
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• 2018

본 논문은 스마트 공장의 표면 결함 검사 시스템에서 사용할 수 있는 VVC, VOV 영상의 특징 활용에 관한 연구를 내용으로 다루었습니다. 본문에서는 VVC와 VOV 특징에 대하여 원리를 소개하고, 실험에서는 이들 특징을 사용한 표면 결함 검사의 결과를 제시하였습니다.

• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.441-452
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• 2021

In this paper, we propose a method for generating luma signal mapping function to improve the coding efficiency of luma signal mapping methods in LMCS. In this paper, we propose a method to reflect the cognitive and perceptual features by multiplying the attention map of convolutional neural networks on local spatial variance used to reflect local features in the existing LMCS. To evaluate the performance of the proposed method, BD-rate is compared with VTM-12.0 using classes A1, A2, B, C and D of MPEG standard test sequences under AI (All Intra) conditions. As a result of experiments, the proposed method in this paper shows improvement in performance the average of -0.07% for luma components in terms of BD-rate performance compared to VTM-12.0 and encoding/decoding time is almost the same.