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      APL 적용 오차 확산법을 이용한 PDP 화질 개선

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      https://www.riss.kr/link?id=T9976644

      • 저자
      • 발행사항

        대구 : 慶北大學校, 2005

      • 학위논문사항

        학위논문 (석사) -- 경북대학교 대학원 , 영상시스템공학전공 , 2005

      • 발행연도

        2005

      • 작성언어

        한국어

      • 주제어
      • 발행국(도시)

        대구

      • 기타서명

        Improvement of PDP image quality using error diffusion method with APL

      • 형태사항

        43 p. : 삽도 ; 27 cm.

      • 일반주기명

        PDF 파일형태로도 이용가능
        참고문헌: p. 41-42

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Plasma display panel (PDP) is the flat panel display, suitable for high-definition television (HDTV) because of large-size and high-brightness. It has many advantages such as fast response, wide viewing angle, low weight, and simple manufacturing process for fabrication.
      However, there are some disadvantages and one of them is the image quality degradation, which is dependent on the digital signal processing. Although image quality of PDP is improving by many researches and experimentations, it still isn’t as good as that of CRTs because of various factors. One of them is worm-like pattern generated by an error diffusion process. And the worm-like pattern is severely increased after an average picture level (APL) process. An increased worm-like pattern occur a drop of resolution in image and a change of correlated color temperature (CCT) according to each grayscale.
      In this paper, a method for improvement of image quality using the error diffusion which considers the APL process is proposed. In the proposed method, the APL process is performed before the error diffusion process. Simulation results showed that the proposed method has better performances for resolution in images and CCT uniformity according to each grayscale than the conventional method.
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      Plasma display panel (PDP) is the flat panel display, suitable for high-definition television (HDTV) because of large-size and high-brightness. It has many advantages such as fast response, wide viewing angle, low weight, and simple manufacturing proc...

      Plasma display panel (PDP) is the flat panel display, suitable for high-definition television (HDTV) because of large-size and high-brightness. It has many advantages such as fast response, wide viewing angle, low weight, and simple manufacturing process for fabrication.
      However, there are some disadvantages and one of them is the image quality degradation, which is dependent on the digital signal processing. Although image quality of PDP is improving by many researches and experimentations, it still isn’t as good as that of CRTs because of various factors. One of them is worm-like pattern generated by an error diffusion process. And the worm-like pattern is severely increased after an average picture level (APL) process. An increased worm-like pattern occur a drop of resolution in image and a change of correlated color temperature (CCT) according to each grayscale.
      In this paper, a method for improvement of image quality using the error diffusion which considers the APL process is proposed. In the proposed method, the APL process is performed before the error diffusion process. Simulation results showed that the proposed method has better performances for resolution in images and CCT uniformity according to each grayscale than the conventional method.

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      목차 (Table of Contents)

      • 목차
      • 1. 서론 = 1
      • 2. 디스플레이 장치에서의 색 재현 = 3
      • 2.1 디스플레이 장치에서의 기준 백색 설정 = 3
      • 2.2 디스플레이 장치에서의 상관 색온도 = 7
      • 목차
      • 1. 서론 = 1
      • 2. 디스플레이 장치에서의 색 재현 = 3
      • 2.1 디스플레이 장치에서의 기준 백색 설정 = 3
      • 2.2 디스플레이 장치에서의 상관 색온도 = 7
      • 3. PDP의 이론적 배경 = 9
      • 3.1 PDP의 원리 = 9
      • 3.1.1 PDP의 구조 및 발광 원리 = 9
      • 3.1.2 PDP의 구동 방법 = 12
      • 3.2 기존 PDP의 주요한 신호 처리 및 문제점 = 15
      • 3.2.1 역 감마 보정 = 15
      • 3.2.2 오차 확산 알고리듬 = 19
      • 3.2.3 Average picture level = 23
      • 4. APL을 고려한 신호 처리 = 28
      • 5. 실험 및 결과 = 33
      • 5.1 웜라이크 패턴의 감소 = 33
      • 5.2 계조에 따른 상관 색온도 보정 = 36
      • 6. 결론 = 40
      • 참고문헌 = 41
      • Abstract = 43
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