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Title: A comprehensive evaluation of full reference image quality assessment algorithms
Authors: Zhang, L
Zhang, L 
Mou, X
Zhang, D 
Keywords: FSIM
Image quality assessment
Issue Date: 2012
Source: Proceedings - International Conference on Image Processing, ICIP, 2012, p. 1477-1480 How to cite?
Abstract: Recent years have witnessed a growing interest in developing objective image quality assessment (IQA) algorithms that can measure the image quality consistently with subjective evaluations. For the full reference (FR) IQA problem, great progress has been made in the past decade. On the other hand, several new large scale image datasets have been released for evaluating FR IQA methods in recent years. Meanwhile, no work has been reported to evaluate and compare the performance of state-of-the-art and representative FR IQA methods on all the available datasets. In this paper, we aim to fulfill this task by reporting the performance of eleven selected FR IQA algorithms on all the seven public IQA image datasets. Our evaluation results and the associated discussions will be very helpful for relevant researchers to have a clearer understanding about the status of modern FR IQA indices. Evaluation results presented in this paper are also online available at htm.
Description: 2012 19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, FL, 30-3 October 2012
ISBN: 9781467325332
ISSN: 1522-4880
DOI: 10.1109/ICIP.2012.6467150
Appears in Collections:Conference Paper

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