A grayscale adjustment method of a display panel, a grayscale adjustment device and a display device using the same are provided. The grayscale adjustment method includes steps of capturing an image of the display panel to obtain a current image; identifying a non-uniform block in the current image, and detecting an original output brightness value and an original input grayscale of the non-uniform block; determining a target input grayscale corresponding to a preset target brightness value according to an actual gamma curve value, wherein the actual gamma curve value is obtained by testing the display panel; and setting a difference between the original input grayscale and the target input grayscale as a grayscale compensation value of the non-uniform block.

Computer-based systems, methods and computer program products for colorimetric mapping are provided. In one embodiment of the method, the method includes obtaining a digital reference image, including: illuminating a known reference source with an arbitrary illumination; and determining an observed illumination by receiving light signals from the reference source at an image sensor; determining a color-balance matrix by minimizing an error between colorimetric values of the digital reference image and color corrected pixel values; applying the color-balance matrix to the digital reference image to produce a color-corrected image; determining a color-space transformation matrix that transforms a color space of the image sensor to a perceptual color space; generating a transformed image by applying the color-space transformation matrix to the color corrected image; and outputting the transformed image.

A dual camera module including a hyperspectral camera module, an apparatus including the same, and a method of operating the apparatus are provided. The dual camera module includes a hyperspectral camera module configured to provide a hyperspectral image of a subject; and an RGB camera module configured to provide an image of the subject, and obtain an RGB correction value applied to correction of the hyperspectral image.

An apparatus includes: a first image sensor configured to sense a first image of a subject; a second image sensor configured to sense a second image of the subject; and a third image sensor configured to sense a third image of the subject, wherein each of the first image, the second image, and the third image may include a spectral image different from each other, wherein one of the first image, the second image, and the third image may include an image that is used to obtain a correction value applied to correction of at least one of the others of the first image, the second image, and the third image, wherein the first image, the second image, and the third image sensor are included in a same device, and wherein the others of the first, second, and third images include uncorrected hyperspectral images.

A dual camera module including a hyperspectral camera module, an apparatus including the same, and a method of operating the apparatus are provided. The dual camera module includes a hyperspectral camera module configured to provide a hyperspectral image of a subject; and an RGB camera module configured to provide an image of the subject, and obtain an RGB correction value applied to correction of the hyperspectral image.

A dual camera module including a hyperspectral camera module, an apparatus including the same, and a method of operating the apparatus are provided. The dual camera module includes a hyperspectral camera module configured to provide a hyperspectral image of a subject; and an RGB camera module configured to provide an image of the subject, and obtain an RGB correction value applied to correction of the hyperspectral image.

A dual camera module including a hyperspectral camera module, an apparatus including the same, and a method of operating the apparatus are provided. The dual camera module includes a hyperspectral camera module configured to provide a hyperspectral image of a subject; and an RGB camera module configured to provide an image of the subject, and obtain an RGB correction value applied to correction of the hyperspectral image.

The present disclosure discloses a method and device (302) for adjusting grayscale of display panel, the method includes: performing image capture on the display panel, and obtaining a current image (S10); identifying an uneven area in the current image, and detecting original output brightness and original input grayscale of the uneven area (S20); determining a target input grayscale corresponding to a preset target brightness according to actual Gamma curve value which is obtained by testing the display panel (S30); using the difference between the original input grayscale and the target input grayscale as grayscale compensation value of the uneven area (S40).

The present disclosure discloses a method and device (302) for adjusting grayscale of display panel, the method includes: performing image capture on the display panel, and obtaining a current image (S10); identifying an uneven area in the current image, and detecting original output brightness and original input grayscale of the uneven area (S20); determining a target input grayscale corresponding to a preset target brightness according to actual Gamma curve value which is obtained by testing the display panel (S30); using the difference between the original input grayscale and the target input grayscale as grayscale compensation value of the uneven area (S40).

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.