180 degree images1-bit matrix completion1/f noise108 Megapixel100 Hue test1st and 2nd FM generation 3D halftoning1 MICRON PIXELS133-MEGAPIXEL
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2.5D PRINTING2D/3D imaging, high performance computing, imaging systems, efficient computations and storage2.5 D printing2D AND 3D CONVERTIBLE DISPLAY2.5D printing2AFC2.5D2D2D printing2D-TO-3D CONVERSION ARTIFACTS2-D barcodes2D VIEWS2D DCT2.5D reconstruction2-d scale2D metrics2D to Hologram conversion2D-plus-depth video2D and 3D video
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360° STEREO PANORAMAS3D Iterative Halftoning3D MESH3D Lidar3D Scene Reconstruction3D-CNN3D Compression and Encryption3D VISUALIZATION3DMM3D reconstruction360-degree3D MESHES3D Display3D Gaussian splatting3DSR360-degree video3D communications3DViewers3D displays3D shape analysis360-DEGREE IMAGE360-deg quality assessment3D Video Conferencing3D Quality3D RANGE IMAGING3D Image Processing3d localization3D MODELLING3-D RECONSTRUCTION3D Models3D object shape3D Compression3D Computer Graphics3D SALIENCY3D Meshes3D-human body detection3D recursive search3-T pixel3D Video3D print3D halftoning3D and 2D3D SCENE RECONSTRUCTION AND MODELING3D SHAPE INDEXING AND RETRIEVAL3D colour Digital Image Correlation3D Print Appearance3D digitization and dissemination3D localization and mapping3D range geometry3D INTERACTION360° VIDEO3D ACQUISITION ARCHITECTURE3D audio3D imaging3D RECOVERY3D printer3D Scene Reconstruction and Modeling3DCNN3D-Anisotropic smoothing3D human-centered technologies3D point cloud3D projector3D mesh simplification35MM FILM DIGITIZATION3D/4D SCANNING3D localization3D-assisted features3D Reconstruction360-degree imaging3D Color Printing3D-printing3D Range Data Encoding3d3d video3D STIMULI3D IMAGE3D vision3D3D encoding3D glasses3D COMPRESSION AND ENCRYPTION3D surface structure based halftoning360x3D scene capture3-D SHAPE RECOVERY3d mapping360 Video3A ALGORITHMS3D-high efficiency video coding3D visual representation3D DISPLAY3D USER INTERFACES3D TV3D PROFILE360-Degree Video Technology3D cinema and TV360-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 TRANSFORMATION3D model3D compression3D Imaging360-degree Image3D Range Data3D surface reproduction3D STACK3D Modeling3D/2D Visuals3D modeling3D rigid transformations3D RECONSTRUCTION3D digital halftoning3D Vision3D Immersion360 IMAGING3D HALFTONING3D range scanning3D Curvelet3ARRI footage360° video3D depth sensing3D printing3D Communications360-degree content3D shape3D PRINTER360 degree images3D Range Data Compression3D scanning3D Mapping3D capture3D modelling3D recovery3D Printing3D Point Cloud3D affine transformation3D 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 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 Saliency3D surface3D data processing3D optical scans3D video processing3D scene classification3D warping3D objects3D mapping and localization3D/4D Data Processing and Filtering360VR360-degree video streaming3D depth-map360-video
With the publication of the second edition of the ISO 15739 Standard [1] in 2013 the measurement of “visual noise” became a normative part of the standard. Over the years the algorithm has proven to be useful and reliable for the judgement of the visibility of noise in
images captured by digital cameras. Nevertheless a few aspects of the measurement procedures were questioned by some experts like e.g. the relation of the contrast sensitivity function (csf) for the luminance and the two chrominance channels. And the resulting weighting factors for the three
channels also depend on the csf relation. In addition, some experts would like to use the more common CIELAB space instead of CIELUV.
For these reasons the responsible ISO technical committee 42 working group 18 is looking into a revision of the visual noise section of the standard.
This paper describes the procedure the group is undertaking to solve the remaining issues in the upcoming revision.