A generalized quality assessment method for natural and screen content images
| Autor: | David B. L. Bong, Woei Tan Loh |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Vision span
Quality assessment business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Magnitude (mathematics) Pattern recognition QA76.75-76.765 Quality (physics) Prewitt operator Signal Processing Human visual system model Content (measure theory) Photography Computer Vision and Pattern Recognition Artificial intelligence Computer software Electrical and Electronic Engineering business Kernel size TR1-1050 Software |
| Zdroj: | IET Image Processing, Vol 15, Iss 1, Pp 166-179 (2021) |
| ISSN: | 1751-9659 1751-9667 |
| Popis: | A generalized objective quality assessment method is proposed for natural images and screen content images. Since natural images and screen content images have different statistical properties, the modelling of a generalized quality assessment method that works for both types of images is complicated because some properties of natural images and screen content images are conflicting to one another. The proposed method assesses the perceptual quality of an image based on edge magnitude and direction. In this method, an image is first separated into regions with high and low gradients. Gradient is used due to the small perceptual span of the human visual system for textual content. For high gradient regions, small kernel size of Prewitt operators is used to obtain the gradient magnitude and direction. Correspondingly, bigger kernel size of Prewitt operators is utilized for low gradient regions. Visual quality indices are computed from both regions and pooled to obtain the final quality index. From the performance comparison, it is shown that the proposed method could assess the perceived quality of natural images and screen content images with high accuracy. |
| Databáze: | OpenAIRE |
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