1st and 2nd FM generation 3D halftoning133-MEGAPIXEL1 MICRON PIXELS1-bit matrix completion180 degree images1/f noise108 Megapixel100 Hue test
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2D DCT2D VIEWS2.5D reconstruction2D-plus-depth video2D and 3D video2-d scale2D metrics2D to Hologram conversion2D AND 3D CONVERTIBLE DISPLAY2.5D printing2.5D PRINTING2D/3D imaging, high performance computing, imaging systems, efficient computations and storage2.5 D printing2D printing2D-TO-3D CONVERSION ARTIFACTS2-D barcodes2AFC2.5D2D
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3D/2D Visuals3D modeling3D rigid transformations3D RECONSTRUCTION3D digital halftoning3D Immersion3D Vision3D HALFTONING360 IMAGING3ARRI footage3D Curvelet360° video3D range scanning3D depth sensing3D printing360-degree content3D Communications3D PRINTER3D shape3D Range Data Compression360 degree images3D modelling3D Mapping3D scanning3D capture3D Printing3D recovery3D affine transformation3D Point Cloud360-degree videos3D connected tube model3D scene flow estimation3D/4D DATA PROCESSING AND FILTERING3D Shape Indexing and Retrieval3D Video Communications3D EDUCATIONAL MATERIAL3D Tracking3D image compression3D Digital Image Correlation3D camera3D Halftoning3D Data Sources3D adaptive halftoning3D-HEVC3D TRANSFORMATION3D compression3D Imaging3D model360-degree Image3D Range Data3D surface reproduction3D STACK3D Modeling3D Saliency3D surface3D data processing3D optical scans3D video processing3D scene classification3D objects3D warping3D mapping and localization360VR3D/4D Data Processing and Filtering360-video3D depth-map360-degree video streaming3D Morphable Model3D Object Detection360-degree images3D face alignment3D PRINTING3D MODEL3D/4D Scanning3D-LUT3D video360-degree image projection3D CAMERAS360 degrees video360-degree art exhibition360 panorama3D perception3D stereo vision3D shape indexing and retrieval3D mesh3D display3D-color perception3D refinement3D Measurement3D theater program listing3D position measurement of people3D-shooting3D DIGITIZATION METHOD FOR OIL PAINTINGS3D Data Processing3D Telepresence360-DEGREE IMAGE360-deg quality assessment3D shape analysis3D Quality3D Video Conferencing3D RANGE IMAGING3D Image Processing3D MODELLING3-D RECONSTRUCTION3d localization3D Models3D object shape3D Computer Graphics3D Compression3D Meshes3D SALIENCY3-T pixel3D Video3D recursive search3D-human body detection3D halftoning3D print3D and 2D3D SCENE RECONSTRUCTION AND MODELING3D SHAPE INDEXING AND RETRIEVAL3D MESH360° STEREO PANORAMAS3D Iterative Halftoning3D Scene Reconstruction3D Lidar3D-CNN3D VISUALIZATION3D Compression and Encryption3DMM3D reconstruction3D Display3D MESHES360-degree3D Gaussian splatting3DSR3DViewers360-degree video3D communications3D displays3D Reconstruction3D Color Printing360-degree imaging3D Range Data Encoding3d3D-printing3D STIMULI3d video3D IMAGE3D encoding3D3D vision3D COMPRESSION AND ENCRYPTION3D glasses3D surface structure based halftoning3d mapping3-D SHAPE RECOVERY360x3D scene capture3A ALGORITHMS360 Video3D visual representation3D-high efficiency video coding3D DISPLAY3D USER INTERFACES3D TV3D cinema and TV3D PROFILE360-Degree Video Technology3D colour Digital Image Correlation3D Print Appearance3D localization and mapping3D digitization and dissemination3D range geometry3D ACQUISITION ARCHITECTURE3D imaging3D audio360° VIDEO3D INTERACTION3D printer3D RECOVERY3DCNN3D-Anisotropic smoothing3D Scene Reconstruction and Modeling3D point cloud3D human-centered technologies35MM FILM DIGITIZATION3D mesh simplification3D projector3D/4D SCANNING3D localization3D-assisted features
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.