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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제14권 제3호
- 발행연도
- 2018.1
- 수록면
- 590 - 599 (10page)
이용수
초록· 키워드
오류제보하기
Multivariate finite mixture model is becoming more and more popular in image processing. Performingimage denoising from image patches to the whole image has been widely studied and applied. However, thereremains a problem that the structure information is always ignored when transforming the patch into thevector form. In this paper, we study the operator which extracts patches from image and then transformsthem to the vector form. Then, we find that some pixels which should be continuous in the image patches arediscontinuous in the vector. Due to the poor anti-noise and the loss of structure information, we propose anew operator which may keep more information when extracting image patches. We compare the newoperator with the old one by performing image denoising in Expected Patch Log Likelihood (EPLL) method,and we obtain better results in both visual effect and the value of PSNR.
목차
등록된 정보가 없습니다.
참고문헌 (27)
참고문헌 신청
A. Beck / 2009 / Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems / IEEE Transactions on Image Processing 18(11):2419~2434
W. Zuo / 2013 / A generalized iterated shrinkage algorithm for non-convex sparse coding / Proceedings of IEEE International Conference on Computer Vision :217~224
M. Jung / 2011 / Nonlocal Mumford-Shah regularizers for color image restoration / IEEE Transactions on Image Processing 20(6):1583~1598
Yuhui Zheng / 2017 / Regularization Parameter Selection for Total Variation Model Based on Local Spectral Response / JIPS(Journal of Information Processing Systems) 13(5):1168~1182
Y. Zheng / 2015 / Adaptively determining regularization parameters in nonlocal total variation regularization for image denoising / Electronics Letters 5(2):144~145
W. Zuo / 2013 / A generalized iterated shrinkage algorithm for non-convex sparse coding / Proceedings of IEEE International Conference on Computer Vision :217~224
M. Jung / 2011 / Nonlocal Mumford-Shah regularizers for color image restoration / IEEE Transactions on Image Processing 20(6):1583~1598
Yuhui Zheng / 2017 / Regularization Parameter Selection for Total Variation Model Based on Local Spectral Response / JIPS(Journal of Information Processing Systems) 13(5):1168~1182
Y. Zheng / 2015 / Adaptively determining regularization parameters in nonlocal total variation regularization for image denoising / Electronics Letters 5(2):144~145
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