A perceptually relevant MSE-based image quality metric
| Autor: | Yih Han Tan, Susanto Rahardja, Hui Li Tan, Zhengguo Li, Chuohuo Yeo |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Mean squared error
Image quality ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Signal-To-Noise Ratio Sensitivity and Specificity Pattern Recognition Automated symbols.namesake Signal-to-noise ratio Artificial Intelligence Biomimetics Distortion Image Interpretation Computer-Assisted Humans Computer vision Mathematics business.industry Wiener filter Reproducibility of Results Pattern recognition Image Enhancement Computer Graphics and Computer-Aided Design Metric (mathematics) symbols Visual Perception Noise (video) Artificial intelligence business Artifacts Software Algorithms |
| Zdroj: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 22(11) |
| ISSN: | 1941-0042 |
| Popis: | Image quality metrics (IQMs), such as the mean squared error (MSE) and the structural similarity index (SSIM), are quantitative measures to approximate perceived visual quality. In this paper, through analyzing the relationship between the MSE and the SSIM under an additive noise distortion model, we propose a perceptually relevant MSE-based IQM, MSE-SSIM, which is expressed in terms of the variance of the source image and the MSE between the source and distorted images. Evaluations on three publicly available databases (LIVE, CSIQ, and TID2008) show that the proposed metric, despite requiring less computation, compares favourably in performance to several existing IQMs. In addition, due to its simplicity, MSE-SSIM is amenable for the use in a wide range of image and video tasks that involve solving an optimization problem. As an example, MSE-SSIM is used as the objective function in designing a Wiener filter that aims at optimizing the perceptual visual quality of the output. Experimental results show that the images filtered with a MSE-SSIM-optimal Wiener filter have better visual quality than those filtered with a MSE-optimal Wiener filter. |
| Databáze: | OpenAIRE |
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