Image quality assessment metrics toolbox
Project description
Image Quality Assessment (IQA) Metrics Toolbox
1. Content
| metric | class | description | better | range | ref |
|---|---|---|---|---|---|
| Peak signal-to-noise ratio (PSNR) | FR | The ratio of the maximum pixel intensity to the power of the distortion. | higher | [0, inf] |
[WIKI] |
| Structural similarity (SSIM) index | FR | Local similarity of luminance, contrast and structure of two image. | higher | [0, 1] |
[paper] [WIKI] |
| Blind/Referenceless Image Spatial QUality Evaluator | NR | Creates a mapping from features extracted from fitted generalised gaussian distributions to the final quality score using support vector machines to perform regression | higher | [0, 100] |
[paper] |
| Natural Image Quality Evaluator | NR | Distance between the quality aware NSS feature model and the | |||
| MVG fit to the features extracted from the distorted image | higher | [0, 100] |
[paper] |
Installation
pip install IQA_Metrics_Toolbox
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