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Dense correspondence estimation, image set compression and image retargeting quality assessment

机译：密集的对应估计，图像集压缩和图像复按分质量评估

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Yabin Zhang;
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1. Quality assessment of retargeted images by salient region deformity analysis [J] . Karimi Maryam, Samavi Shadrokh, Karimi Nader, Journal of visual communication & image representation . 2017,第Feba期

机译：通过显着区域变形分析对重定目标图像进行质量评估
2. Learning quality assessment of retargeted images [J] . Yan Bo, Bare Bahetiyaer, Li Ke, Signal Processing. Image Communication: A Publication of the the European Association for Signal Processing . 2017,第期

机译：学习零售图像的质量评估
3. Lossy three-dimensional JPEG2000 compression of abdominal CT images: assessment of the visually lossless threshold and effect of compression ratio on image quality. [J] . Ringl H, Schernthaner RE, Kulinna-Cosentini C, Radiology . 2007,第2期

机译：腹部CT图像的有损三维JPEG2000压缩：评估视觉无损阈值和压缩率对图像质量的影响。
4. Dense correspondence based prediction for image set compression [C] . Zhang Yabin, Lin Weisi, Cai Jianfei IEEE International Conference on Acoustics, Speech and Signal Processing . 2015

机译：基于密集对应关系的图像集压缩预测
5. Sparse Representations and Feature Learning for Image Set Classification and Correspondence Estimation [D] . Fathy, Mohammed E. Fathy. 2018

机译：图像集分类和对应估计的稀疏表示和特征学习
6. A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment [O] . Urvashi Sharma, Meenakshi Sood, Emjee Puthooran 2020

机译：用于医学图像序列和诊断质量评估的块自适应近无损压缩算法
7. Dense multi-planar scene estimation from a sparse set of images [O] . Alberto Argiles, Javier Civera, Luis Montesano 2015

机译：来自稀疏图像集的密集多平面场景估计

Dense correspondence estimation, image set compression and image retargeting quality assessment

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