Anisotropic blind image quality assessment: Survey and analysis with current methods
The Anisotropic Quality Index (AQI) was previously introduced by the authors as a non-distortion-specific, no- reference image quality measure. AQI is based on measuring the variance of the expected entropy of a given image over a predefined set of orientations. In this paper, a statistical evaluati...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/160757 |
| Acceso en línea: | http://hdl.handle.net/10261/160757 |
| Access Level: | acceso abierto |
| Palabra clave: | Image quality assessment Pseudo-Wigner Distribution Renyi entropy Anisotropy Correlation Mean Opinion Scores |
| Sumario: | The Anisotropic Quality Index (AQI) was previously introduced by the authors as a non-distortion-specific, no- reference image quality measure. AQI is based on measuring the variance of the expected entropy of a given image over a predefined set of orientations. In this paper, a statistical evaluation of AQI is provided using standard bench- marking parameters showing good match with observer’s response. Some AQI extensions are proposed for tackling ill-posed noise types that provide fair or poor performance. A comparison with other no-reference methods has been included showing good competitiveness with many of them. |
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