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 system is provided for generating video content with hue-preservation in virtual production. A processor determines data in a scene-based encoding format based on raw data received in a pre-defined format. The raw data includes a computer-generated background rendered on a rendering panel and a foreground object. Based on the data in the scene-based encoding format, scene linear data is determined. A saturation of the scene linear data is controlled when a first color gamut corresponding to the pre-defined format is mapped to a second color gamut corresponding to a display-based encoding color space. Based on the scene linear data, a standard dynamic range (SDR) video content in the display-based encoding color space is determined. Hue of the SDR video content is preserved, when the rendering panel is in-focus or out-of-focus, based on a scaling factor that is applied to three primary color values that describe the first color gamut.

A method, including recording a first and a second camera image; the first camera image and the second camera image having an overlap region. The method includes: assigning pixels of the first camera image and pixels of the second camera image to predefined points of a three-dimensional lattice structure, the predefined points being situated in a region of the three-dimensional lattice structure, which represents the overlap region; ascertaining a color information item difference for each predefined point as a function of the assigned color information items; ascertaining a quality value as a function of the ascertained color information item difference at the specific, predefined point; determining a global color transformation matrix as a function of the color information item differences, weighted as a function of the corresponding quality value; and adapting the second camera image as a function of the determined color transformation matrix.

An image-processing device (64) for a fluorescence observation device (1), such as a microscope or endoscope, emulates a first type (82) of fluorescence display device on a second type (63) of fluorescence display device (1). Proficient use of a fluorescence observation device (1) for surgery requires years of training and experience. As technology quickly advances, new types of fluorescence observation devices provide different and more information than older types of fluorescence observation devices, however adoption of newer types is slow because new training is needed. The present disclosure facilitates the switch from one type of fluorescence observation device to another by providing a type-emulation module (108), which allows the imaging result obtained from the first type of fluorescence observation device to be emulated on the second type. The type-emulation module (108) is applied to a digital fluorescence image (20) in which the fluorescence of a fluorescing fluorophore (8) is recorded.

An image-processing device (64) for a fluorescence observation device (1), such as a microscope or endoscope, emulates a first type (82) of fluorescence display device on a second type (63) of fluorescence display device (1). Proficient use of a fluorescence observation device (1) for surgery requires years of training and experience. As technology quickly advances, new types of fluorescence observation devices provide different and more information than older types of fluorescence observation devices, however adoption of newer types is slow because new training is needed. The present disclosure facilitates the switch from one type of fluorescence observation device to another by providing a type-emulation module (108), which allows the imaging result obtained from the first type of fluorescence observation device to be emulated on the second type. The type-emulation module (108) is applied to a digital fluorescence image (20) in which the fluorescence of a fluorescing fluorophore (8) is recorded.

Methods and systems disclosed herein relate generally to systems and methods for using image-layer snapshots to eliminate image artifacts. A pixel-adjustment module receives an indication of the selected region within a first image layer of an image. In response, the pixel-adjustment module generates a first snapshot of the first image layer, in which the first snapshot includes pixel data for restoring a first state of the first image layer at which the selected region is yet to be modified. The pixel-adjustment module generates a second image layer, in which the image structure-modification operation is applied to the pixel of the second image layer that corresponds to the selected region. The pixel-adjustment module modifies a pixel in the selected region to include at least part of the pixel data from the first snapshot.

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 method, a system, and a computer program product for generating a selective color image. The method includes capturing a color image data within a current scene. The method further includes retrieving image color values from the color image data. The method further includes receiving a selection of at least one location within the color image data. The method further includes generating a color mask, including at least one unmasked area identified within a depth map of the current scene, and applying the color mask to the color image data to generate a color masked image data. The method further includes combining the color masked image data with monochromatic image data of the current scene to create a selective color image that includes the monochromatic image data with the at least one portion, and then the method includes providing the selective color image to at least one output device.

A method, a system, and a computer program product for generating a selective color image. The method includes capturing a color image data within a current scene. The method further includes retrieving image color values from the color image data. The method further includes receiving a selection of at least one location within the color image data. The method further includes generating a color mask, including at least one unmasked area identified within a depth map of the current scene, and applying the color mask to the color image data to generate a color masked image data. The method further includes combining the color masked image data with monochromatic image data of the current scene to create a selective color image that includes the monochromatic image data with the at least one portion, and then the method includes providing the selective color image to at least one output device.

A color temperature adjustment method includes obtaining an image to be adjusted, determining a pixel value gain of a pixel in the image according to a pixel value of the pixel and a preset gain-value correspondence between the pixel value and the pixel value gain, and adjusting a color temperature of the pixel according to the pixel value and the pixel value gain of the pixel, and a color temperature adjustment ratio.