Fog removal also called as visibility restoration alludes to different strategies that aim to reduce or remove the debasement which have occurred even as digital image was being acquired. The debasement may be because of different elements like relative object-camera motion, blur because of camera mis-center, relative environmental turbulence and others. This paper exhibits an audit on the diverse strategies to eliminate haze from images caught in a hazy environment to recuperate a superior and improved quality of haze free images. Fog removal likewise recognized as visibility restoration alludes to different systems that expect to diminish or uproot the debasement that have happened while the digital image was being obtained. The debasement may be a because of different reasons alike relative object-camera movement, distortion because of camera mis-center, relative environmental turbulence and others.
목차
Abstract 1. Introduction 1.1. Types of FOG 1.2. Effect of FOG 2. Image Acquisition Model 3. Estimation Based Model 4. Enhancement Based Model 4.1. Non Model Based Enhancement Technique 4.2. Model Based Enhancement Techniques 5. Restoration Model 6. Literature Review 7. Conclusion References
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
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 Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.4