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One of the most challenging problems for researchers in the field of image processing is image quality assessment.
Objective quality measures or measures of comparison are of great importance in the field of image processing.
Anisotropic nonlinear diffusion (AND) is one of the most powerful noise reduction techniques in the field of image processing.
Throughput improvement is expected to be important for studying fast kinetic processes, for enabling clinical diagnosis and treatment, and for extending the field of image informatics.
Image segmentation is a classic subject in the field of image processing and also is a hotspot and focus of image processing techniques.
The goal of researchers in the field of image quality assessment is to design and develop algorithms and measures for detecting sharpness and blurriness in an image.
Objective image fusion evaluation metrics play a vital role in choosing proper fusion algorithms and optimizing parameters in the field of image fusion.
Part III is concerned with topics taken from the field of image processing and computer vision.
Therefore, image de-noising is an important problem in the field of image processing [1 4].
Accordingly, the concept of entropy in information theory is extended in the field of image processing.
In the field of image processing and computer vision, image segmentation is an everlasting fundamental problem.
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the field of tissue
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