An optical wavelength band to be detected is flexibly changed. An imaging device includes a coded mask including two or more kinds of band bus filters that are arranged in a two-dimensional grating pattern and that transmit light of different wavelength bands, a light receiving unit that receives modulated light modulated by the coded mask and generates observation signal data, and an image reconstruction processing unit that reconstructs the observation signal data generated by the light receiving unit to generate image data.

A method includes capturing, by a camera disposed behind a display panel of an electronic device, an original image through a semi-transparent pixel region of the display panel. The original image includes one or more color components. The method further includes determining, for a plurality of pixel regions of the original image, a point spread function (PSF) for each of the one or more color components. The method further includes performing, for the plurality of pixel regions of the original image, a deconvolution of each of the one or more color components of the original image based at least in part on their respective PSFs. The method thus includes generating a reconstructed image corresponding to the original image based on the deconvolutions of the one or more color components of the plurality of pixel regions of the original image.

A projector and a method for projecting an image light beam according to an image signal are provided. The method includes: receiving the image signal; decoding the image signal to obtain a metadata of the image signal; converting a color space of the image signal from a wider color gamut to a narrower color gamut according to the metadata so as to generate a converted image signal; performing a gamma correction on the converted image signal according to the metadata to generate a corrected image signal; transferring the corrected image signal into an optical signal; providing a light beam; respectively modulating the light beam and a illumination beam according to the optical signal to form an image light beam; and projecting the image light beam.

The processing of RGB image data can be optimized by performing optimization operations on the image data when it is converted into the YCbCr color space. For each Y-layer of the YCbCr image data, a 2D LUT is generated. The YCbCr image data is converted into optimized CbCr image data using the 2D LUTs, and optimized YCbCr image data is generated by blending CbCr image data corresponding to multiple Y-layers. The optimized YCbCr image data is converted into sRGB image data, and a tone curve is applied to the sRGB image data to produce optimized sRGB image data.

A device includes an electronic processor configured to define a first set of sample pixels from a set of sample pixels determined from received video data according to a first electro-optical transfer function (EOTF) in a first color representation of a first color space; convert the first set of sample pixels to a second EOTF via a mapping function, producing a second set of sample pixels according to the second EOTF; convert the first and second set of sample pixels from the first color representation to a second color representation of the first color space; determine a backward reshaping function by repeatedly applying and adjusting a sample backward reshaping function so as to minimize a difference between predicted pixel values obtained by applying the sample backward reshaping function to the pixels of the converted first set and the pixels of the converted second set.

A light-field display with pixel to micro-lens spatial alignment adapted color or brightness. In one embodiment, a first pixel is read from memory. A map is accessed to read a first index that is mapped to a first position of a first emitter in an array of emitters. A first correction data mapped to the first index is read. The first pixel is adjusted using the first correction data. The first emitter emits light based on the adjusted first pixel.

The present invention provides an image processing device, an imaging device, an image processing method, and a program which are capable of accurately correcting blurring caused in first image data of an image using a near-infrared ray as a light source and, accurately performing a point image restoration process on second image data of an image using visible light and a near-infrared ray as a light source. An image processing device according to an aspect of the present invention includes an image input unit, a determination unit that determines whether image data is first image data or second image data, a first restoration processing unit that performs a first restoration process using first restoration filters for performing phase correction and amplitude restoration on the determined first image data, and a second restoration processing unit that performs a second restoration process using second restoration filters for performing amplitude restoration without phase correction on the determined second image data.

An image processing apparatus includes an image acquisition unit (113) that acquires a plurality of images, an information acquisition unit (114) that acquires each image pickup condition information while imaging the plurality of images, a memory unit (108) that stores an optical transfer function corresponding to the image pickup condition information, a correction unit (111) that generates an image restoration filter from the optical transfer function on the basis of the image pickup condition information so as to correct the plurality of images using the image restoration filter, and a correction control unit (110) that causes the correction unit to correct the plurality of images acquired by the image acquisition unit in order based on the image pickup condition information.

To enable HDR video signals of a plurality of signal interfaces to be satisfactorily handled. [Solution] A processing unit processes a linear high dynamic range video signal and obtains a high dynamic range video signal that has undergone a grayscale compression process. The processing unit is able to perform grayscale compression processes of a plurality of signal interfaces. For example, when a grayscale compression process of another signal interface other than a reference signal interface is performed, the processing unit further performs a process of adding characteristics of system gamma of the reference signal interface and a process of cancelling out characteristics of system gamma of the other signal interface.

To enable HDR video signals of a plurality of signal interfaces to be satisfactorily handled.

[Solution] A processing unit processes a linear high dynamic range video signal and obtains a high dynamic range video signal that has undergone a grayscale compression process. The processing unit is able to perform grayscale compression processes of a plurality of signal interfaces. For example, when a grayscale compression process of another signal interface other than a reference signal interface is performed, the processing unit further performs a process of adding characteristics of system gamma of the reference signal interface and a process of cancelling out characteristics of system gamma of the other signal interface.