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The VIF criterion analyses the natural scene statistics, using an image degradation model and the HVS model.
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Images were taken using an image analyzer (Typhoon, Amersham Biosciences).
The images were digitalized using an image analyzer (Chemimager, Biozym).
Computer image analysis was performed using an image analysis system.
Use an image capture program.
Note that simulation used aberration data measured with 789 nm wavelength; if imaging is performed using shorter wavelength, image degradation will be worse with aberrations, and the benefit of AO correction will be greater.
Image pairs were altered using a noise degradation model.
The image processing can be addressed from two different points of view: as an image restoration technique or as an image enhancement method: (i) The image restoration aims to recover a degraded image using a model of the degradation and of the original image formation; it is essentially an inverse problem.
It uses natural scene statistics modeling in conjunction with an image-degradation model and the HVS model.
The image restoration aims to recover a degraded image using a model of the degradation and of the original image formation; it is essentially an inverse problem.
The proposed method controls the degradation of a watermarked image by using a lower limit image.
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