Ana Carolina Siravenha, Danilo Sousa, Aline Bispo, Evaldo Pelaes
언어
영어(ENG)
URL
https://www.earticle.net/Article/A208824
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
This paper presents the evaluation of two approaches, widely used in the inpainting literature, applied in the context of the atmospheric noise removal, such as fog, clouds - dense and sparse - and shadows, which often occur in remote sensing images. The presence of such elements aect, in many ways, the image processing in an environmental or urban monitoring, and also in the steps of the digital image processing, suchlike segmentation and classication. Whilst one approach uses a technique of interpolation for the dissemination of information by a multidimensional Discrete Cosine Transform (DCT) smoothing method, the other one is based on second-order partial dier- ential equations methods (PDE). This PDE-based development uses the heat diusion and thin-plate spline methods to achieve their solutions with the aid of the nite-dierence method. To proceed the methods evaluation, this work uses the kappa coecient and the Peak Signal-to-Noise Ratio index (PSNR). The metrics indicate the eectiveness of the DCT strategy, which produces higher quality images, specially when comparing the results obtained by the use of dierential equations modeled by thin-plate spline. The visual aspect of images is clearly an important factor for measuring the eectiveness of any image processing, so, in addition to numerical metrics, are presented the nine images used to evaluate both methods.
목차
Abstract 1 Introduction 2 Methodology 2.1 First approach 2.2 Second approach 3 Results and Discussions 4 Conclusion References
키워드
InpaintingCloud removalDCTHeat diffusion.
저자
Ana Carolina Siravenha [ Signal Processing Laboratory, Federal University of Para (UFPA) ]
Danilo Sousa [ Signal Processing Laboratory, Federal University of Para (UFPA) ]
Aline Bispo [ Signal Processing Laboratory, Federal University of Para (UFPA) ]
Evaldo Pelaes [ Signal Processing Laboratory, Federal University of Para (UFPA) ]
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.5 No.2