Blind image quality assessment through anisotropy
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Method for determining the quality of digital images. An anisotropic measure is used as a metric to assess the quality of images. The method is based on measuring the variance of the expected entropy of a given image upon a set of predefined directions. Directional selectivity is attained by using an oriented 1-D pseudo-Wigner distribution.
Cite As
Salvador Gabarda (2024). Blind image quality assessment through anisotropy (https://www.mathworks.com/matlabcentral/fileexchange/30800-blind-image-quality-assessment-through-anisotropy), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Quality >
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22 AGO 2017/
Version | Published | Release Notes | |
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2.0 | The code has been updated to include more options than Gaussian noise or blur |
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1.0.0.0 |