Abstract: An image processing method generates a training dataset for training a machine learning model to predict illumination conditions for different positions relative to a scene, the training dataset including training images and reference data.

Abstract: The present disclosure relates to an image processing method for correcting colors in an input image representing a scene, the image processing method including: processing the input image with a machine learning model, wherein the machine learning model is previously trained to detect a predefined number N>1 of sources of light illuminating the scene and to generate N estimated illuminant images associated respectively to the N sources of light, wherein each estimated illuminant image includes an estimated color of the light emitted by the respective source of light and an estimated contribution image; generating a total illuminant image by using the N estimated illuminant images; and generating an output image by correcting the colors in the input image based on the total illuminant image.

Abstract: A method, apparatus and system for estimating reflectance parameters and a position of the light source(s) of specular reflections of a scene include RGB sequence analysis with measured geometry in order to estimate specular reflectance parameters of an observed 3D scene. Embodiments include pixel-based image registration from which profiles of 3D scene points image intensities over the sequence are estimated. A profile is attached to a 3D point and to the set of pixels that display its intensity in the registered sequence. Subsequently, distinction is made between variable profiles that reveal specular effects and constant profiles that show diffuse reflections only. Then, for each variable profile diffuse reflectance is estimated and subtracted from the intensity profile to deduce the specular profile and the specular parameters are estimated for each observed 3D point. Then, the location of at least one light source responsible for the specular effects is estimated.

Abstract: An electronic imaging device having a plurality of photosensitive cells arranged in an array to form a frame region, the frame region being composed of a plurality of frame sub-regions each frame sub-region corresponding to a sub-set of photosensitive cells, the device comprising an array controller configured to expose each of said frame sub-regions during an exposure duration wherein the exposure of at least some of said frame sub-regions occurs at different times during a total time of exposure of the frame region, a flash unit for illuminating a scene to be imaged during a flash time duration an activator for activating the flash unit to illuminate the scene to be imaged at a flash time delay determined in dependence upon said exposure duration of a frame sub region and the flash time duration; an image data acquisition unit for acquiring a set of frames of the scene wherein the time of occurrence of a flash event within a frame shifts temporally from frame to frame; and an image reconstruction unit for c

Abstract: A method, apparatus and system for estimating reflectance parameters and a position of the light source(s) of specular reflections of a scene include RGB sequence analysis with measured geometry in order to estimate specular reflectance parameters of an observed 3D scene. Embodiments include pixel-based image registration from which profiles of 3D scene points image intensities over the sequence are estimated. A profile is attached to a 3D point and to the set of pixels that display its intensity in the registered sequence. Subsequently, distinction is made between variable profiles that reveal specular effects and constant profiles that show diffuse reflections only. Then, for each variable profile diffuse reflectance is estimated and subtracted from the intensity profile to deduce the specular profile and the specular parameters are estimated for each observed 3D point. Then, the location of at least one light source responsible for the specular effects is estimated.

Abstract: A method and system for three dimensional presentation of two dimensional images in a video sequence having a plurality of frames is provided. In one embodiment, the method comprises identifying a plurality of points to be presented in three dimensional images and performing a color and depth sequence analysis for each of these points. A profile is then generated profiles for each of the points based on the analysis. The profiles are classified as variable profiles or constant profiles and a surface reflectance is calculated for each of the points having a constant profile. Method also comprises modifying the two dimensional images to present as three dimensional images for points having a constant profile, wherein the images maintain uniform color and appearance between adjacent frames along said video sequence.

Abstract: An electronic imaging device having a plurality of photosensitive cells arranged in an array to form a frame region, the frame region being composed of a plurality of frame sub-regions each frame sub-region corresponding to a sub-set of photosensitive cells, the device comprising an array controller configured to expose each of said frame sub-regions during an exposure duration wherein the exposure of at least some of said frame sub-regions occurs at different times during a total time of exposure of the frame region, a flash unit for illuminating a scene to be imaged during a flash time duration an activator for activating the flash unit to illuminate the scene to be imaged at a flash time delay determined in dependence upon said exposure duration of a frame sub region and the flash time duration; an image data acquisition unit for acquiring a set of frames of the scene wherein the time of occurrence of a flash event within a frame shifts temporally from frame to frame; and an image reconstruction unit for c