Reduced Reference Quality Assessment for Image Retargeting by Earth Mover’s Distance

Author:

Wei LongshengORCID,Zhao Lei,Peng Jian

Abstract

A reduced reference quality assessment algorithm for image retargeting by earth mover’s distance is proposed in this paper. In the reference image, all the feature points are extracted using scale invariant feature transform. Let the histograms of image patch around each feature point be local information, and the histograms of saliency feature as global information. Those feature information is extracted at the sender side and transmitted to the receiver side. After that, the same feature information extraction process is performed for the retargeted image at the receiver side. Finally, all feature information of the reference and retargeted images is used collectively to compute the quality of the retargeted image. An overall quality score is calculated from the local and global similarity measure using earth mover’s distance between reference and retargeted images. The key step in our algorithm is to provide an earth mover’s distance metric in a manner that indicates how the local and global information in the reference image is preserved in corresponding retargeted image. Experimental results show that the proposed algorithm can improve the image quality scores on four common criteria in the retargeted image quality assessment community.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HDMA-CGAN: Advancing Image Style Transfer with Deep Learning;International Journal of Pattern Recognition and Artificial Intelligence;2024-06-29

2. Full-Reference Image Quality Assessment Based on Multi-Channel Visual Information Fusion;Applied Sciences;2023-07-28

3. Image retargeting quality assessment: A survey;Journal of Intelligent & Fuzzy Systems;2023-01-30

4. No-Reference Image Quality Assessment Based on Image Multi-Scale Contour Prediction;Applied Sciences;2022-03-10

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