A new scheme for no reference image quality assessment

A. Chetouani, Azeddine Beghdadi, A. Bouzerdoum, Mohamed Deriche
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引用次数: 3

Abstract

In this paper, we propose to overcome one of the limitations of No Reference (NR) Image Quality Metrics (IQMs). Indeed, this kind of metrics is generally distortion-based and can be used only for a specific degradation such as ringing, blur or blocking. We propose to detect and identify the type of the degradation contained in the image before quantifying its quality. The degradation type is here identified using a Linear Discriminant Analysis (LDA) classifier. Then, the NR-IQM is selected according to the degradation type. We focus our work on the more common artefacts and degradations: blocking, ringing, blur and noise. The efficiency of the proposed method is evaluated in terms of correct classification across the considered degradations and artefacts.
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一种新的无参考图像质量评价方案
在本文中,我们提出克服无参考(NR)图像质量度量(iqm)的一个局限性。事实上,这类指标通常是基于失真的,只能用于特定的退化,如振铃、模糊或阻塞。我们建议在量化图像质量之前检测和识别图像中包含的退化类型。这里使用线性判别分析(LDA)分类器识别退化类型。然后,根据退化类型选择NR-IQM。我们的工作重点是更常见的人工制品和退化:阻塞,振铃,模糊和噪音。根据所考虑的退化和伪影的正确分类来评估所提出方法的效率。
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