基于马尔可夫随机场的联合视频融合与超分辨率

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI:10.1109/ICIP.2014.7025431

Jin Chen, J. Núñez-Yáñez, A. Achim

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引用次数: 4

摘要

本文提出了一种视频融合和超分辨率联合算法。该方法解决了在贝叶斯框架中从红外(IR)和可见光(VI)低分辨率(LR)图像生成高分辨率(HR)图像的问题。为了更好地保留不连续性，使用广义高斯马尔可夫随机场(MRF)来表示先验。实验结果表明，该方法可以有效地恢复可见光和红外波段的信息。

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Joint video fusion and super resolution based on Markov random fields

In this paper, a joint video fusion and super-resolution algorithm is proposed. The method addresses the problem of generating a high-resolution (HR) image from infrared (IR) and visible (VI) low-resolution (LR) images, in a Bayesian framework. In order to preserve better the discontinuities, a Generalized Gaussian Markov Random Field (MRF) is used to formulate the prior. Experimental results demonstrate that information from both visible and infrared bands is recovered from the LR frames in an effective way.

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2014 IEEE International Conference on Image Processing (ICIP)

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