This paper presents a multi-sensor color image interpolation algorithm. Color filter array consists of three primary colors: red, green, and blue. Green component has twice more information than that of red or blue components. The missing green components are estimated based on the color channel difference along various edge directions. Then, red and blue components are calculated using pre-interpolated green components. It can be found from the simulation results section that iterative process and inter-channel scheme provided satisfactory results. We used three objective color metrics which proved our method’s feasibility. The visual performance comparison was conducted for subjective performance assessment. From all the comparison shown above, it can be concluded that the proposed method required less computations while providing better performance.
목차
Abstract 1. Introduction 2. Proposed Method 2.1. Green Channel Restoration 2.3. Red and Blue Channel Restoration 3. Simulation Results 3.1. Simulation Condition 3.2. Objective Performance 3.3. Subjective Performance 4. Conclusion Acknowledgements References
키워드
multisensory imagingsuper resolutionimage upsamplingcolor still image
저자
Gwanggil Jeon [ Department of Embedded Systems Engineering, Incheon National University ]
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.9 No.4