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Through aggregating the kV and MV projections for image estimation, intra-treatment 4D-CBCT imaging was also proposed and validated for its feasibility.
The bias-variance trade-off in these estimates, empirically optimized in terms of the final image estimation performance, may shift a lot, depending on the observation conditions, even when the uncorrupted original remains the same.
For these clinical studies, we used the normalized cross-correlation (NCC) as a new similarity metric and developed an updated MMFD-NCC method, to improve the robustness of the image estimation technique to the intensity mismatches between CT and CBCT imaging systems.
To solve the above issues, the dissertation further developed a prior knowledge based image estimation technique to fundamentally change the landscape of limited-angle based imaging.
Compression at the physical layer of integrated imaging systems reduces the measurements-to-pixels ratio, the data volume and accelerates image estimation.
These degradation mechanisms make phase image estimation a challenging problem.
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Generally, if we perform the pre-image estimation of l ̃ j k from ζ j k, estimation errors occur.
Generally, we have to solve the pre-image estimation problem of l ̃ j k from ζ j k, i.e., l ̃ j k, which satisfies ζ j k ≅ ϕ ( l ̃ j k ), has to be estimated.
The photographic Web site of NASA and its Jet Propulsion Laboratory, http://photojournal.jpl.nasa.gov /targetFamily/Mars, shows pictures from half a dozen cameras: the panoramic camera, the navigation camera, the microscopic imager, the descent image motion estimation system and the hazard identification cameras (front and rear).
The new project is called "Image Scale Estimation Using Genetic Programming in Java".
[project page] [video] [code] Anytime Stereo Image Depth Estimation on Mobile Devices.
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