180 degree images1-bit matrix completion1/f noise108 Megapixel100 Hue test1st and 2nd FM generation 3D halftoning1 MICRON PIXELS133-MEGAPIXEL
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2.5 D printing2.5D PRINTING2D/3D imaging, high performance computing, imaging systems, efficient computations and storage2.5D printing2D AND 3D CONVERTIBLE DISPLAY2.5D2D2AFC2D-TO-3D CONVERSION ARTIFACTS2-D barcodes2D printing2.5D reconstruction2D VIEWS2D DCT2D to Hologram conversion2-d scale2D metrics2D and 3D video2D-plus-depth video
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360-degree3D MESHES3D Display3D Gaussian splatting3DSR360-degree video3D communications3DViewers3D displays360° STEREO PANORAMAS3D Iterative Halftoning3D MESH3D Lidar3D Scene Reconstruction3D-CNN3D Compression and Encryption3D VISUALIZATION3DMM3D reconstruction3D SALIENCY3D Meshes3D-human body detection3D recursive search3-T pixel3D Video3D print3D halftoning3D and 2D3D SCENE RECONSTRUCTION AND MODELING3D SHAPE INDEXING AND RETRIEVAL3D shape analysis360-DEGREE IMAGE360-deg quality assessment3D Video Conferencing3D Quality3D RANGE IMAGING3D Image Processing3d localization3D MODELLING3-D RECONSTRUCTION3D Models3D object shape3D Compression3D Computer Graphics3D Scene Reconstruction and Modeling3D-Anisotropic smoothing3DCNN3D point cloud3D human-centered technologies3D projector3D mesh simplification35MM FILM DIGITIZATION3D/4D SCANNING3D localization3D-assisted features3D colour Digital Image Correlation3D Print Appearance3D localization and mapping3D digitization and dissemination3D range geometry3D INTERACTION360° VIDEO3D ACQUISITION ARCHITECTURE3D audio3D imaging3D RECOVERY3D printer360x3D scene capture3-D SHAPE RECOVERY3d mapping360 Video3A ALGORITHMS3D-high efficiency video coding3D visual representation3D DISPLAY3D USER INTERFACES3D TV3D PROFILE360-Degree Video Technology3D cinema and TV3D Reconstruction360-degree imaging3D Color Printing3D-printing3D Range Data Encoding3d3d video3D STIMULI3D IMAGE3D vision3D3D encoding3D glasses3D COMPRESSION AND ENCRYPTION3D surface structure based halftoning3D TRANSFORMATION3D model3D compression3D Imaging360-degree Image3D Range Data3D surface reproduction3D STACK3D Modeling360-degree videos3D scene flow estimation3D connected tube model3D Video Communications3D Shape Indexing and Retrieval3D/4D DATA PROCESSING AND FILTERING3D EDUCATIONAL MATERIAL3D Tracking3D image compression3D Digital Image Correlation3D Halftoning3D Data Sources3D camera3D-HEVC3D adaptive halftoning3D printing3D Communications360-degree content3D shape3D PRINTER360 degree images3D Range Data Compression3D scanning3D Mapping3D capture3D modelling3D recovery3D Printing3D Point Cloud3D affine transformation3D/2D Visuals3D modeling3D rigid transformations3D RECONSTRUCTION3D digital halftoning3D Vision3D Immersion360 IMAGING3D HALFTONING3D range scanning3D Curvelet3ARRI footage360° video3D depth sensing3D shape indexing and retrieval3D mesh3D-color perception3D display3D refinement3D Measurement3D theater program listing3D DIGITIZATION METHOD FOR OIL PAINTINGS3D position measurement of people3D-shooting3D Data Processing3D Telepresence3D Morphable Model3D Object Detection360-degree images3D PRINTING3D face alignment3D MODEL3D/4D Scanning3D video3D-LUT3D CAMERAS360 degrees video360-degree art exhibition360-degree image projection3D stereo vision360 panorama3D perception3D mapping and localization3D/4D Data Processing and Filtering360VR360-degree video streaming3D depth-map360-video3D Saliency3D surface3D data processing3D optical scans3D video processing3D scene classification3D warping3D objects
The dynamic range of the intensity of long-wave infrared (LWIR) cameras are often more than 8bit and its images have to be visualized using histogram equalization and so on. Many visualization methods do not consider effects of noise, which must be taken care of in real situations. We propose a novel LWIR images visualization method based on gradient-domain processing or gradient mapping. Processing based on intensity and gradient power in the gradient domain enables visualizing LWIR images with noise reduction. We evaluate the proposed method quantitatively and qualitatively and show its effectiveness.
A sequential transfer-gate and photodiode optimization method for CMOS Image sensors are described in this paper, which enables the design of large-scale ultra-high-speed burst mode CMOS Image sensors in a low-cost standard CMOS Image sensor process without the need for process customization or advanced process. The sequential transfer gates also show a clear advantage in minimizing the floating diffusion capacitance and improving image sensor conversion gain in large-scale pixels.
A reset noise reduction method using a feedback amplifier that results in an 80% noise reduction in 3-transistor (3-T) pixels is presented. 3-T pixels are useful for non-visible imaging applications because they have fewer post-processing issues than 4-T pixels and do not require charge transfer. They suffer from reset noise because correlated-double sampling cannot be realized without additional memory. Analysis of the experimental power spectral density indicates potential for further noise cancellation in future devices.