A microscope includes a digital imaging device. The digital imaging device comprises a processor which is configured to: obtain a number of digital grayscale images of an object at a number of different spectral sensitivities, each of the digital grayscale images including grayscale information based on a different one of the different spectral sensitivities, obtain a number of weighting factors for each of the digital grayscale images, the weighting factors being allocated to a number of color channels defining a predetermined color space, and synthesize a digital color image of the object from the digital grayscale images in the color space by distributing the grayscale information of each grayscale image over the color channels in accordance with the weighting factors.

Color filters are used for color images obtained using imaging devices such as conventional image sensors. Imaging elements with color filters are sold, and an appropriate combination of the imaging element and a lens or the like is incorporated in an electronic device. Only providing a color filter to overlap a light-receiving region of an image sensor reduces the amount of light reaching the light-receiving region.

An imaging system of the present invention includes a solid-state imaging element without a color filter, a storage device, and a learning device. As a selection standard for reducing the amount of learning data, in an HSV color space, saturation is used, and selection is performed so that the saturation has optimal distribution. When colorization disclosed in this specification is performed, the colorization and object highlight processing can be performed at the same time.

Color filters are used for color images obtained using imaging devices such as conventional image sensors. Imaging elements with color filters are sold, and an appropriate combination of the imaging element and a lens or the like is incorporated in an electronic device. Only providing a color filter to overlap a light-receiving region of an image sensor reduces the amount of light reaching the light-receiving region.

An imaging system of the present invention includes a solid-state imaging element without a color filter, a storage device, and a learning device. As a selection standard for reducing the amount of learning data, in an HSV color space, saturation is used, and selection is performed so that the saturation has optimal distribution. When colorization disclosed in this specification is performed, the colorization and object highlight processing can be performed at the same time.

A multi-spectrum based image fusion apparatus is disclosed, which includes a light acquisition device, an image processor, and an image sensor having five types of photosensitive channels. The five types of photosensitive channels including red, green and blue RGB channels, an infrared IR channel and a full-band W channel. The light acquisition device acquires target light corresponding to incident light. The image sensor converts the target light into an image signal through the RGB channels, the IR channel and the W channel. The image processor analyzes the image signal into RGB color signals and a brightness signal, and fuses the RGB color signals and the brightness signal to obtain a fused image. The collection of the channels based on which the RGB color signals and the brightness signal are obtained includes the five types of photosensitive channels.

A multi-spectrum based image fusion apparatus is disclosed, which includes a light acquisition device, an image processor, and an image sensor having five types of photosensitive channels. The five types of photosensitive channels including red, green and blue RGB channels, an infrared IR channel and a full-band W channel. The light acquisition device acquires target light corresponding to incident light. The image sensor converts the target light into an image signal through the RGB channels, the IR channel and the W channel. The image processor analyzes the image signal into RGB color signals and a brightness signal, and fuses the RGB color signals and the brightness signal to obtain a fused image. The collection of the channels based on which the RGB color signals and the brightness signal are obtained includes the five types of photosensitive channels.

Dual cameras that simultaneously capture RGB and IR images of a scene can be used to remove glare from the RGB image, transformed to a YUV image, by substituting a glare region in the luminance component of the YUV image with the pixel values in a corresponding region of the IR image. Further, color information in the glare region may be adjusted by averaging over or extrapolating from the color information in the surrounding region.

A system is provided for converting image data from a first image format to a second image format that approximates a three-dimensional lookup table. The system includes an image processing operation database that stores image format conversion configurations; an image format conversion selector that selects an image format conversion for converting the image data from a first to a second format and that accesses, from the database, a corresponding image format conversion configuration for converting the image data to the second format; and an image processor that executes processing input operations on RGB components of the image data, a 3×3 matrix, and processing output operations on the respective RGB components that are output from the 3×3 matrix, such that the image data is converted to the second format, with the processing input and output operations comprising the accessed image format conversion configuration.

An image processing method includes converting an original image represented by a first color space into the original image represented by a second color space, where a correlation between color components of respective channels in the second color space of the original image is smaller than a correlation between color components of respective channels in the first color space; denoising channel images formed by the color components of the respective channels in the second color space respectively to obtain denoised images corresponding to the respective channel images; and obtaining a target image based on the denoised images.

An image processing method includes converting an original image represented by a first color space into the original image represented by a second color space, where a correlation between color components of respective channels in the second color space of the original image is smaller than a correlation between color components of respective channels in the first color space; denoising channel images formed by the color components of the respective channels in the second color space respectively to obtain denoised images corresponding to the respective channel images; and obtaining a target image based on the denoised images.

The present disclosure relates to a tuning method and apparatus for a color gamut mapping device, in which a tuning time is shortened by automatically setting and changing parameters of a register when tuning the color gamut mapping device. A tuning method of a color gamut mapping device according to an aspect includes an initial setting operation of setting, by a test device, initial parameters in a register of a color gamut mapping device, a measuring operation of measuring, by a measuring device, chromaticity for each of a plurality of color images which are supplied from the test device and displayed on a panel of a display device through the color gamut mapping device, an automatic tuning operation of changing, by the test device, saturation parameters and hue parameters of a plurality of hue axes of the color gamut mapping device by using a result measured from the measuring device.