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Enhancing the Depth Resolution of Contactless Electrical Conductivity Imaging
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006Contactless electrical conductivity imaging (CECI) collects magnetic field measurements of the induced currents from a biological subject. Because magnetic induction strength is highly dependent on the distance between the source and the measurements, information about the deeper conductivity variations are highly vulnerable to measurement noise.
Mehmet N. Tek, Bahram Shafai
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Combining color and depth for enhanced image segmentation and retargeting
The Visual Computer, 2011As depth cameras become more popular, pixel depth information becomes easier to obtain. This information can clearly enhance many image processing applications. However, combining depth and color information is not straightforward as these two signals can have different noise characteristics, differences in resolution, and their boundaries do not ...
Meir Johnathan Dahan +3 more
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Depth image enhancement using perceptual texture priors
SPIE Proceedings, 2015A depth camera is widely used in various applications because it provides a depth image of the scene in real time. However, due to the limited power consumption, the depth camera presents severe noises, incapable of providing the high quality 3D data. Although the smoothness prior is often employed to subside the depth noise, it discards the geometric ...
Duhyeon Bang, Hyunjung Shim
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Image Contrast Enhancement Using Color and Depth Histograms
IEEE Signal Processing Letters, 2014In this letter, we propose a new global contrast enhancement algorithm using the histograms of color and depth images. On the basis of the histogram-modification framework, the color and depth image histograms are first partitioned into sub-intervals using the Gaussian mixture model. The positions partitioning the color histogram are then adjusted such
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Enhance Image Style Transfer with Depth Spatial Modulation
2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), 2023Yang Peng, Peng Lu, Wang Yin
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Variational L0 Regularization for Enhanced Depth Image Analysis
Mathematical optimization is fundamental in computational imaging, where problems often center on minimizing an objective function under various constraints. An important class of optimization problems involves minimal partitioning, which aims to segment data into partitions which meet certain criteria, such as photometric or geometric similarity. Thisopenaire +2 more sources
Visualization of Sarcoid Choroidal Granuloma by Enhanced Depth Imaging Optical Coherence Tomography
Ocular Immunology and Inflammation, 2014Giuseppe Querques, Christine Fardeau
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