Abstract: The method includes simultaneously illuminating a scene by at least two light sources, each light source emitting structured light having a spatial pattern, a wavelength and/or a polarization, wherein the spatial pattern, the wavelength and/or the polarization of each structured light differ from each other, respectively, capturing an image of the scene simultaneously illuminated by the at least two light sources by an imaging sensor through a filter array, wherein one pixel of the imaging sensor captures the image through one filter of the filter array, calculating, for each pixel, intensity values of direct and global components of the light received by the pixel from a system of equations compiled for each joint pixel, and performing, for each pixel, image correction by assigning to each pixel its calculated intensity value of the direct component to obtain a corrected image.

Abstract: The method includes simultaneously illuminating a scene by at least two light sources, each light source emitting structured light having a spatial pattern, a wavelength and/or a polarization, wherein the spatial pattern, the wavelength and/or the polarization of each structured light differ from each other, respectively, capturing an image of the scene simultaneously illuminated by the at least two light sources by an imaging sensor through a filter array, wherein one pixel of the imaging sensor captures the image through one filter of the filter array, calculating, for each pixel, intensity values of direct and global components of the light received by the pixel from a system of equations compiled for each joint pixel, and performing, for each pixel, image correction by assigning to each pixel its calculated intensity value of the direct component to obtain a corrected image.

Abstract: An image processing method is provided The image processing includes images obtained using a Red-Clear-Clear-Blue (RCCB) color filter array. An image processing method for processing an RCCB image obtained by an image capturing device comprising an array of photosensors with a mosaic of RCCB filters comprises interpolating the RCCB image to obtain dense C-channel data from a sparse C-channel, and chromatic filtering, based on the RCCB image data and the dense C-channel, to obtain an RGB image by obtaining the dense R-channel and B-channel, and filtering the R-channel and B-channel using the guide image. The computational load on the image processing equipment and the processing time are reduced, while enhancing the obtained image quality, including in low light conditions.

Abstract: An image processing device includes an encoder configured to receive a blurry image and generate a global feature map of the image, a merging unit configured to merge the global feature map and blur information, a decoder configured to generate a feature tensor and weight tensors, a recurrent refinement module configured to perform recurrent feature filtering, and an image reconstruction module configured to reconstruct a deblurred image where the image processing device is configured to estimate an image global shift and to activate or deactivate the recurrent refinement module based on the estimation.

Abstract: An image processing method is provided The image processing includes images obtained using a Red-Clear-Clear-Blue (RCCB) color filter array. An image processing method for processing an RCCB image obtained by an image capturing device comprising an array of photosensors with a mosaic of RCCB filters comprises interpolating the RCCB image to obtain dense C-channel data from a sparse C-channel, and chromatic filtering, based on the RCCB image data and the dense C-channel, to obtain an RGB image by obtaining the dense R-channel and B-channel, and filtering the R-channel and B-channel using the guide image. The computational load on the image processing equipment and the processing time are reduced, while enhancing the obtained image quality, including in low light conditions.