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학위논문
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이동석 (동의대학교, 동의대학교 대학원)

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발행연도
2021
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동의대학교 논문은 저작권에 의해 보호받습니다.

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이 논문의 연구 히스토리 (3)

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본 논문에서는 화소의 값으로 카메라와의 거리를 저장하는 깊이 영상의 기존 색상 영상 부호화 표준을 통한 부호화를 개선하기 위해 표면 모델링에 의한 화면내와 3차원 신축에 의한 화면간의 깊이 영상 부호화 방법을 제안한다. 표면 모델링에 의한 깊이 영상의 화면내 부호화는 블록 단위로 유사한 평면을 추정하여 화면 내 예측을 하는 인트라 모드를 적용한다. 추정된 평면을 이루는 계수들은 직접 부호화하지 않고, 주변 화소로부터 예측함으로써 깊이 영상의 부호화를 개선할 수 있다. 3차원 신축에 의한 화면간 깊이 영상 부호화를 위해 블록 단위로 현재 블록과 탐색 블록 간의 평균 깊이 화소 값의 비율을 신축 비율로 계산한다. 신축 비율을 통해 탐색 블록의 크기를 조절하고, 탐색 블록의 깊이 화소 값을 보상하는 3차원 신축을 적용하여 정확한 움직임 추정을 수행한다. 제안된 방법을 통한 화면내 부호화에서 동 비트율에서 왜곡은 최대 12.70% 개선되었고, 동 왜곡상에서 비트율은 최대 6.76% 개선되었다. 또한 화면간 부호화에서 움직임 추정 정확도가 최대 90% 향상시켰다.

목차

요약 ··········································································································· ⅰ
목차 ··········································································································· ⅱ
표목차 ······································································································· ⅳ
그림목차 ··································································································· ⅴ
1. 서론 ······································································································ 1
2. 기존 연구 ···························································································· 3
2.1 깊이 영상의 특성 ·········································································· 3
2.2 색상 영상에서의 영상 부호화를 위한 예측 방법 ·················· 6
2.3 기존 깊이 영상 부호화 방법 ······················································ 8
3. 깊이 영상 예측을 위한 부호화 방법 ·········································· 11
3.1 평면 모델링을 통한 화면 내 부호화······································ 11
3.1.1 평면 모델링을 통한 깊이 화면 예측 ······························· 11
3.1.2 평면 모델링을 통한 가변 블록 예측 ······························· 17
3.1.3 평면 모델링 계수 예측을 통한 부호화 ··························· 18
3.2 깊이 영상의 3차원 신축을 통한 화면 간 예측 ···················· 28
3.2.1 깊이 정보를 통한 탐색 블록의 크기 결정 ····················· 28
3.2.2 신축 움직임에 따른 깊이 값 보상 ··································· 30
3.2.3 3차원 신축을 통한 가변 블록의 화면 간 부호화 ········· 34
4. 모의실험 결과 ··················································································· 36
4.1 평면 모델링을 통한 깊이 영상의 화면 내 부호화 ············ 36
4.1.1 평면 모델링을 통한 화면 내 예측 ··································· 36
4.1.2 평면 모델링 계수 예측을 통한 화면 내 부호화 ··········· 46
4.2 3차원 신축을 통한 깊이 영상의 화면 간 부호화 ················ 56
5. 결론 ······································································································ 65
참고문헌 ··································································································· 66

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