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Image denoising is a fundamental problem in image processing.
Image quality assessment (IQA) is a fundamental problem in image processing.
Estimating a dense motion field of successive video frames is a fundamental problem in image processing.
Image registration is a fundamental problem in image processing and computer vision.
A central problem in image processing and computer vision is the computation of corresponding interest points in a given set of images.
The normalized gradient consistency score is designed to compare the normalized image gradient fields between two images to alleviate the illumination variation problem in image matching.
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Tracking the pose of instruments is a central problem in image-guided surgery.
Dynamic deformation of object is a distinct problem in image-based tracking.
Some meaningful hints about parallelization problems in image processing and analysis are discussed.
He went on to say that problems in image recognition can be caused by obscured faces and "different contrast processing needed for different skin tones and lighting".
For example, regularization is useful for promoting smoothness, sparsity, low energy, and large entropy in solutions to inverse problems in image analysis, statistical model selection, and the geosciences.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com