Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images using Non-local Pixel Distribution

机译：使用非局部像素分布同时深度重建和恢复嘈杂的立体图像

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摘要

In this paper, we propose a new algorithm that solves both the stereo matching and the image denoising problem simultaneously for a pair of noisy stereo images. Most stereo algorithms employ L1 or L2 intensity error-based data costs in the MAP-MRF framewo

机译：在本文中，我们提出了一种新的算法，可以同时解决一对嘈杂的立体声图像的立体声匹配和图像降噪问题。大多数立体声算法在MAP-MRF框架中采用基于L1或L2强度误差的数据成本

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《Computer Vision and Pattern Recognition (CVPR), 2007 IEEE Conference on》|2007年|P.1-8|共8页
会议地点 MinneapolisMN
作者
Yong Seok Heo; Kyoung Mu Lee; Sang Uk Lee;
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image denoising; image reconstruction; image restoration; stereo image processing; MAP-MRF framework; image denoising; intensity error-based data costs; noisy stereo images restoration; nonlocal pixel distribution; nonlocal pixel distribution dissimilarity; nonloc;

机译：图像去噪影像重建;图像恢复；立体图像处理； MAP-MRF框架；图像去噪基于强度误差的数据成本；嘈杂的立体图像恢复；非局部像素分布；非局部像素分布不相似；非本地;

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1. Beyond pixels and regions: A non-local patch means (NLPM) method for content-level restoration, enhancement, and reconstruction of degraded document images [J] . Moghaddam R.F., Cheriet M. Pattern Recognition: The Journal of the Pattern Recognition Society . 2011,第2期

机译：像素和区域之外：用于降级的文档图像的内容级别恢复，增强和重建的非本地补丁手段（NLPM）方法
2. Comments on 'Restoration of noisy images modeled by Markov random fields with Gibbs distributions' (and reply) [J] . Derin H. IEEE Transactions on Circuits and Systems . 1991,第5期

机译：关于“恢复具有吉布斯分布的马尔可夫随机场建模的嘈杂图像”的评论（和回复）
3. Perspective-variant reconstruction of a three-dimensional object along the depth direction with virtually generated elemental images by ray-based pixel mapping in integral-imaging [J] . Yong Seok Hwang, Eun-Soo Kim Optics and Lasers in Engineering . 2013,第7期

机译：通过积分成像中基于射线的像素映射，使用虚拟生成的元素图像沿深度方向对三维对象进行透视变化重构
4. Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images using Non-local Pixel Distribution [C] . Heo, Yong Seok, Lee, . 2007

机译：使用非局部像素分布同时深度重建和恢复嘈杂的立体图像
5. IDENTIFICATION AND RESTORATION OF NOISY AND BLURRED IMAGES (ARMA MODEL, SPECTRAL FACTORIZATION, MAXIMUM LIKELIHOOD, KALMAN FILTERING, ADAPTIVE). [D] . TEKALP, AHMET MURAT. 1984

机译：识别和恢复嘈杂和模糊的图像（ARMA模型，光谱分解，最大相似度，卡尔曼滤波，自适应）。
6. Quantitative and Comparative Analysis of Effectivity and Robustness for Enhanced and Optimized Non-Local Mean Filter Combining Pixel and Patch Information on MR Images of Musculoskeletal System [O] . Jan Kubicek, Michal Strycek, Martin Cerny, 2021

机译：增强和优化的非局部平均滤波器的有效性和鲁棒性的定量和比较分析组合像素和补丁信息肌肉骨骼系统MR图像
7. Simultaneous depth reconstruction and restoration of noisy stereo images using Non-local Pixel Distribution [O] . Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee 2007

机译：使用非局部像素分布同时深度重建和恢复嘈杂的立体图像
8. Algorithme Stereo Paralleles Calcul de Cartes de Profondeur Denses Qui Preserventles Discontinuites (Parallel Stereo Algorithm That Produces Dense Depth Maps and Preserves Image Features) [R] . Fua, P. 1991

机译：algorithme stereo paralleles Calcul de Cartes de profondeur拒绝Qui preserventles Discontinuites（产生密集深度图并保留图像特征的平行立体声算法）

Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images using Non-local Pixel Distribution

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