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The main objective of image fusion algorithm is to combine information from multiple images of a scene.
The objective of image enhancement is to show features of interest in an enhanced manner, by applying certain operations available in the IP software (Meijerink et al. 2007).
The objective of image steganography is to hide secret information in nondescript areas of the carrier image such that the changes made to the image are imperceptible, and the secret information itself is retrievable only by authorized, informed personnel [4].
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The sole objective of image-based follow-up is the early detection, and catheter-based correction, of device failure.
A target objective measure of image quality was identified.
The results of Experiment 3 suggest that perceivers' judgments of height are associated with objective measurements of image size, although objective measurements are not the only factor that affects height judgments.
The approach to optimisation adopted by de Groot et al. [4], by Accorsi et al. [12] and in this study is to identify a target value for an objective measure of image quality and then to identify the activity required to achieve that target in a practical scan duration for patients of different sizes.
Correlation coefficients for Spearman rank correlation of subjective against objective measures of image quality and the areas under ROC curves describing the ability of objective measures to identify images with a subjective assessment of definitely adequate or better are given in Table 3.
Correlation coefficients for Spearman rank correlation of subjective against objective measures of image quality and the areas under receiver operating characteristic (ROC) curves describing the ability of objective measures to identify images with a subjective assessment of definitely adequate or better were calculated.
An empirical formulation of the objective measure of image quality based on blur and noise has been proposed in[83].
However, in the real world, there is yet no universal standard for an objective assessment of image quality.
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