Firstly, a novel hybrid weight method is developed by employing the local weight of a single image, the global weight between different exposure images, and the saliency weight from spectral residual model. Secondly, a new multi-scale hybrid weight image fusion algorithm based on Laplacian pyramid...
论文地址:Detail-Enhanced Multi-Scale Exposure Fusion in YUV Color Space 摘要公认的是,使用边缘保持平滑技术可以改善现有的多尺度曝光融合算法。但是,基于边缘保留的平滑处理的多尺度曝光融合的复杂性对于移动设备来说是一个问题。本文在YUV色彩空间中设计了一种更简单的多尺度曝光融合算法。所提出的算法可以保留高动...
The proposed multi-scale exposure fusion algorithm is also applied to design a simple single image brightening algorithm for both low-light imaging and back-light imaging. 展开 关键词: weighted structure tensor Exposure fusion differently exposed images weighted guided image filter low-light imaging ...
a novel multi-scale hybrid weight fusion framework is proposed to overcome the inherent defects of detail loss during the reconstruction process. Firstly, a novel hybrid weight method is developed by employing the local weight of a single image, the global weight...
Existing multiscale exposure fusion (MEF) algorithms cannot preserve relative brightness in an image fused from two large-exposure-ratio images if high-light regions in the dark image are darker than shadow regions in the bright image. In this letter, a strategy by synthesizing a virtual image ...
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In 20 sets of multi-exposure image sequences, six multi-exposure image fusion methods are compared in both subjective and objective aspects. Both qualitative and quantitative performance analysis of experimental results confirm that the proposed multi-scale decomposition image fusion method can produce ...
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We propose a simple yet effective structural patch decomposition (SPD) approach for multi-exposure image fusion (MEF) that is robust to ghosting effect. We... NK Kalantari,R Ramamoorthi - 《Acm Transactions on Graphics》 被引量: 9发表: 2017年 Multi-Scale Pixel-Based Image Fusion Using Multiva...
Multi-exposure fusionConvolutional neural networkAuxiliary variablesL1-normGradient domainThis paper shows how to convert a color image to grayscale using convolutional neural network (CNN), that preserves visual contrast via gradient domain modeling. We propose to explore the auxiliary variable principle ...