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首页> 外文期刊>Signal Processing. Image Communication: A Publication of the the European Association for Signal Processing >Objective quality assessment of color images based on a generic perceptual reduced reference
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Objective quality assessment of color images based on a generic perceptual reduced reference

机译：基于通用感知简化参考的彩色图像的客观质量评估

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摘要

When an image is supposed to have been transformed by a process like image enhancement or lossy image compression for storing or transmission, it is often necessary to measure the quality of the distorted image. This can be achieved using an image processing method called "quality criterion". Such a process must produce objective quality scores in close relationship with subjective quality scores given by human observers during subjective quality assessment tests. In this paper, an image quality criterion is proposed. This criterion, called C4, is fully generic (i.e., not designed for predefined distortion types or for particular images types) and based on a rather elaborate model of the human visual system (HVS). This model describes the organization and operation of many stages of vision, from the eye to the ventral and dorsal pathways in the visual cortex. The novelty of this quality criterion relies on the extraction, from an image represented in a perceptual space, of visual features that can be compared to those used by the HVS. Then a similarity metric computes the objective quality score of a distorted image by comparing the features extracted from this image to features extracted from its reference image (i.e., not distorted). Results show a high correlation between produced objective quality scores and subjective ones, even for images that have been distorted through several different distortion processes. To illustrate these performances, they have been computed using three different databases that employed different contents, distortions type, displays, viewing conditions and subjective protocols. The features extracted from the reference image constitute a reduced reference which, in a transmission context with data compression, can be computed at the sender side and transmitted in addition to the compressed image data so that the quality of the decompressed image can be objectively assessed at the receiver side. More, the size of the reduced reference is flexible. This work has been integrated into freely available applications in order to formulate a practical alternative to the PSNR criterion which is still too often used despite its low correlation with human judgments. These applications also enable quality assessment for image transmission purposes.
机译：当假定图像已通过诸如图像增强或有损图像压缩之类的过程进行了转换以存储或传输时，通常需要测量失真图像的质量。这可以使用称为“质量标准”的图像处理方法来实现。这样的过程必须产生与人类观察者在主观质量评估测试中给出的主观质量分数密切相关的客观质量分数。本文提出了一种图像质量标准。这个称为C4的标准是完全通用的（即，不是为预定义的失真类型或特定的图像类型而设计的），并且是基于人类视觉系统（HVS）相当精细的模型。该模型描述了从眼睛到视觉皮层的腹侧和背侧通路的多个视觉阶段的组织和操作。此质量标准的新颖性取决于从感知空间中表示的图像中提取可与HVS使用的视觉特征进行比较的视觉特征。然后，相似性度量通过将从该图像提取的特征与其从其参考图像提取的特征（即未失真）进行比较来计算变形图像的客观质量得分。结果显示，即使对于已通过几种不同失真过程失真的图像，所产生的客观质量得分与主观得分之间也具有高度相关性。为了说明这些性能，已使用三个使用不同内容，失真类型，显示，观看条件和主观协议的不同数据库对它们进行了计算。从参考图像中提取的特征构成一个简化的参考，在压缩数据的传输上下文中，该参考可以在发送方进行计算，并在压缩后的图像数据之外进行传输，以便可以客观地评估解压缩后的图像的质量。接收方。此外，简化参考的大小是灵活的。这项工作已被集成到免费的应用程序中，以便制定一种实用的替代PSNR标准的方法，尽管该标准与人的判断力相关性较低，但仍然经常使用。这些应用程序还可以出于图像传输目的进行质量评估。

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