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The image sharpness was optimized to soft tissue.
This sharpness metric is derived by modelling the image sharpness problem as a generalized eigenvalues problem.
The performance of the proposed metric is gauged by comparing with several objective image sharpness metrics.
To assess through-focus polychromatic image sharpness of 5 FDA-approved presbyopia-correcting intraocular lenses (IOLs) through a range of object vergences and pupil diameters using an image sharpness algorithm.
This paper deals with the design and implementation of a novel image sharpness metric based on the statistical approach.
Finally, the image sharpness of the normalized image is determined by the trace of the first several eigenvalues.
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Image sharpness was compared by measuring the diameter of point targets and directional edge sharpness.
Image sharpness was used to evaluate the interface of the RV myocardium and the RV blood pool.
A very important factor in image quality assessment is image sharpness/blurriness.
In this pape r a new technique is proposed to calculate image sharpness/blurriness measure in frequency domain.
However, these image sharpness/blur metrics typically fail in the presence of noise.
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