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Wavelet Based Sharp Features (WASH): An Image Quality Assessment Metric Based on HVS

Version 1.0.0.0 (1.68 MB) by Aneesh
This is an implementation of the WASH algorithm to calculate the perceptive image quality.
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Updated 21 Jan 2014

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WASH is an image quality assessment metric based on HVS. The image is
analyzed in the wavelet domain which is advantageous to the quality
assessment based on human perception. The sharpness and zero-crossing are the two important features that give good quality estimation based on the structural distortion of the image. This method estimates the image quality based on the concept of sharpness and zero-crossing.

Cite As

Aneesh (2023). Wavelet Based Sharp Features (WASH): An Image Quality Assessment Metric Based on HVS (https://www.mathworks.com/matlabcentral/fileexchange/45148-wavelet-based-sharp-features-wash-an-image-quality-assessment-metric-based-on-hvs), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0