Examples relate to systems, methods and computer programs for a microscope system and for determining a transformation function, and to a corresponding microscope system. The system for the microscope system comprises one or more processors and one or more storage devices. The system is configured to obtain first imaging sensor data from a first imaging sensor of a microscope of the microscope system and second imaging sensor data from a second imaging sensor of the microscope, the first imaging sensor data comprises sensor data on light sensed in a first plurality of mutually separated wavelength bands. The second imaging sensor data comprises sensor data on light sensed in a second plurality of mutually separated wavelength bands. The wavelength bands of the first plurality of mutually separated wavelength bands or of the second plurality of mutually separated wavelength bands are wavelength bands that are used for fluorescence imaging. The system is configured to generate a composite color image based on the first imaging sensor data and based on the second imaging sensor data. The composite color image is based on a plurality of color channels. The composite color image is generated using a transformation function to define a transformation to be performed between the imaging sensor data and the composite color image, such that the composite color image is generated using sensor data on light sensed in each wavelength band of the first and second plurality of mutually separated wavelength bands.

Examples relate to systems, methods and computer programs for a microscope system and for determining a transformation function, and to a corresponding microscope system. The system for the microscope system comprises one or more processors and one or more storage devices. The system is configured to obtain first imaging sensor data from a first imaging sensor of a microscope of the microscope system and second imaging sensor data from a second imaging sensor of the microscope, the first imaging sensor data comprises sensor data on light sensed in a first plurality of mutually separated wavelength bands. The second imaging sensor data comprises sensor data on light sensed in a second plurality of mutually separated wavelength bands. The wavelength bands of the first plurality of mutually separated wavelength bands or of the second plurality of mutually separated wavelength bands are wavelength bands that are used for fluorescence imaging. The system is configured to generate a composite color image based on the first imaging sensor data and based on the second imaging sensor data. The composite color image is based on a plurality of color channels. The composite color image is generated using a transformation function to define a transformation to be performed between the imaging sensor data and the composite color image, such that the composite color image is generated using sensor data on light sensed in each wavelength band of the first and second plurality of mutually separated wavelength bands.

Devices, methods, and non-transitory program storage devices (NPSDs) are disclosed to compensate for the predicted color changes experienced by camera modules after certain amounts of time of real world use. Such color changes may be caused by prolonged exposure of optical components of the camera module to one or more of: solar radiation, high temperature conditions, or high humidity conditions, each of which may, over time, induce deviation in the color response of optical components of the camera module. The techniques disclosed herein may first characterize such predicted optical change to components over time based on particular environmental conditions, and then implement one or more time-varying color models to compensate for predicted changes to the camera module's color calibration values due to the characterized optical change. In some embodiments, optical changes in other types of components, e.g., display devices, caused by prolonged environmental stresses may also be modeled and compensated.

A method includes obtaining a blended red-green-blue (RGB) image frame of a scene. The method also includes performing, using at least one processing device of an electronic device, an interband denoising operation to remove at least one of noise and one or more artifacts from the blended RGB image frame in order to produce a denoised RGB image frame. Performing the interband denoising operation includes performing filtering of red, green, and blue color channels of the blended RGB image frame to remove at least one of the noise and the one or more artifacts from the blended RGB image frame. The filtering of the red and blue color channels of the blended RGB image frame is based on image data of at least one of the green color channel and a white color channel of the blended RGB image frame.

Disclosed is a color transform method performed by an electronic device that includes generating an initial color transformed image by performing color transform on a raw image, determine noise amplification degrees indicating degrees to which noise included in the raw image is amplified by the color transform, processing the determined noise amplification degrees, and generating a final color transformed image by filtering the generated initial color transformed image using the processed noise amplification degrees and at least one of the raw image or luminance information of the raw image.

Apparatuses, systems, and techniques to receive, at one or more processors associated with an image signal processing (ISP) pipeline for a camera, an image generated using an image sensor of the camera, wherein the image comprises a plurality of channels associated with color information of the image; process, by the one or more processors, the plurality of channels of the image to generate a plurality of luminance and/or radiance values; generate, by the one or more processors, an updated version of the image using the plurality of luminance and/or radiance values; and output the updated version of the image.

An image acquisition apparatus includes: a first image sensor configured to acquire a first image based on a first wavelength band; a second image sensor configured to acquire a second image based on a second wavelength band of 10 nm to 1,000 nm, and a processor configured to register the first image and the second image, which are respectively output from the first image sensor and the second image sensor, to obtain a registration image based on the first image and the second image, and perform color conversion on the registration image by using an illumination value estimated from the second image.

An example image capture device includes a display configured to display captured images, a camera sensor, the camera sensor being disposed to receive light through at least a portion of the display, memory configured to store captured images, and one or more processors coupled to the camera sensor, the display, and the memory. The one or more processors are configured to receive a signal from a sensor. The one or more processors are configured to determine, based at least in part on the signal, a user interface mode. The user interface mode includes a first mode having a first number of black pixels or a second mode having a second number of black pixels. The first number is greater than the second number. The one or more processors are also configured to receive image data from the camera sensor.

An example image capture device includes a display configured to display captured images, a camera sensor, the camera sensor being disposed to receive light through at least a portion of the display, memory configured to store captured images, and one or more processors coupled to the camera sensor, the display, and the memory. The one or more processors are configured to receive a signal from a sensor. The one or more processors are configured to determine, based at least in part on the signal, a user interface mode. The user interface mode includes a first mode having a first number of black pixels or a second mode having a second number of black pixels. The first number is greater than the second number. The one or more processors are also configured to receive image data from the camera sensor.

This inventions provides an image capturing apparatus capable of obtaining an image corrected so as to have an image quality preference of a user by changing the degree of application of the 3D-LUT using only a single LUT processing circuit. To this, the image capturing apparatus that includes an image capturing unit, comprises an acquisition unit that acquires a first look-up table for converting image data, a setting unit that sets a degree of application of the first look-up table acquired by the acquisition unit, and a generation unit that generates a second look-up table from the first look-up table based on the degree of application set by the setting unit, wherein image data obtained by the image capturing unit is converted using the second look-up table generated by the generation unit.