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We measured the image area touched by a single step (in cm), the toe 1 5 and 2 4 spreads (in cm), the length of the foot step (in cm), the stride width and the stride length (in cm).
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The modified-BRISQUE model can accurately measure the image quality of MR images.
Then, the different quality metrics were used to measure the image quality.
No-reference/blind image quality assessment (BIQA) is designed to measure the image quality without any knowledge of the reference image.
The BRISQUE model measures the image quality by using the locally normalized luminance coefficients, which were used to calculate the image features.
The new method uses the mean, variance, and histogram of similarity distance samples measuring the image restoration effect.
Noisy pixels are detected based on iterative measuring the image entropy and restored using an Adaptive Iterative Mean filter (AIM).
Furthermore, they are suited to measure the image quality degradation, e.g., due to packet losses or compression algorithms.
In this multifractal estimation method, a series of SEs of different scales were used to measure the image surface.
Image definition evaluation, which measures the image quality (definition), is one of the important steps for the image-based auto-focusing.
Visual information measures These metrics aim at measuring the image information by modeling the psycho-visual features of the HVS or by measuring the information fidelity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com