This paper presents an adaptive interpolation algorithm for effective picture format conversion, namely deinterlacing based on total edge directions estimation. The deinterlacing algorithms are generally made up of two parts, such as the estimation of edge directions and the interpolation of missing pixels along with the estimated direction. The proposed algorithm adopts and enhances the block-based search concept for estimation of edge directions, which is introduced in the direction-oriented interpolation (DOI) algorithm. In this paper the edge directions are estimated with the vertical angles as well as the horizontal angles in the DOI and then the missing pixels are interpolated by using median operation. Experimental results show that the proposed algorithm can estimate edge directions and interpolate missing pixels more accurately compared with the conventional deinterlacing algorithms in terms of the objective performance measured in PSNR and the subjective visual quality.
목차
Abstract 1. Introduction 2. Conventional Deinterlacing Algorithms 2.1. The ELA and EELA Algorithms 2.2. The DOI Algorithm 3. Proposed Algorithm 4. Experimental Results 5. Conclusions References
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.8 No.2