In some embodiments, a computer-implemented method of generating a visualization of wavelength-dependent surface characteristics is provided. A computing device receives an input image captured by a camera, wherein the input image includes information in a low-dimensional color space. The computing device processes the input image to determine spectrum band information in a high-dimensional color space that corresponds to the input image. The computing device extracts subtractive information from the spectrum band information to obtain wavelength-dependent surface characteristic information, The computing device generates the visualization using the wavelength-dependent surface characteristic information. In some embodiments, the computing device may be a smartphone.

Provided is a method of operating an assessment device which communicates with an image sensor and includes an input buffer and a processor, the method including receiving, by the input buffer, raw image data from the image sensor that is configured to capture a test chart, generating, by the processor, conversion image data based on color domain transformation of the raw image data, generating, by the processor, estimation image data by estimating a non-distorted image based on the conversion image data, and assessing, by the processor, color distortion of the image sensor based on the estimation image data and the conversion image data.

Provided is a method of operating an assessment device which communicates with an image sensor and includes an input buffer and a processor, the method including receiving, by the input buffer, raw image data from the image sensor that is configured to capture a test chart, generating, by the processor, conversion image data based on color domain transformation of the raw image data, generating, by the processor, estimation image data by estimating a non-distorted image based on the conversion image data, and assessing, by the processor, color distortion of the image sensor based on the estimation image data and the conversion image data.

The disclosure can provide a method for converting an image, an apparatus for converting an image, an electronic device, and a storage medium. The method includes: obtaining an image in RAW format; obtaining a semantic analysis result of the image in RAW format by inputting the image in RAW format into a pre-trained first network model; the first network model being obtained by training based on a labeled training sample corresponding to each of a plurality of first training samples, the first training sample being a sample image in RAW format, and the labeled training sample being a sample image in RAW format obtained by labeling a semantic analysis result on the corresponding first training sample; and determining an image in RGB (Red-Green-Blue) format corresponding to the image in RAW format based on the semantic analysis result of the image in RAW format.

The disclosure can provide a method for converting an image, an apparatus for converting an image, an electronic device, and a storage medium. The method includes: obtaining an image in RAW format; obtaining a semantic analysis result of the image in RAW format by inputting the image in RAW format into a pre-trained first network model; the first network model being obtained by training based on a labeled training sample corresponding to each of a plurality of first training samples, the first training sample being a sample image in RAW format, and the labeled training sample being a sample image in RAW format obtained by labeling a semantic analysis result on the corresponding first training sample; and determining an image in RGB (Red-Green-Blue) format corresponding to the image in RAW format based on the semantic analysis result of the image in RAW format.

A method (and system) is provided obtaining an adapted calibration transformation for whole slide imaging, wherein the adapted calibration transformation is for outputting the color of an empty area of the slide in a whole slide image, WSI, as a desired color. The method comprises first receiving a color target WSI in a device-dependent color space, wherein the color target WSI is a WSI of a color target from a scanner represented in the device-dependent color space. The color target contains at least a white patch and three (near) primary color patches. A calibration transformation is obtained for transforming the device-dependent color space to a device-independent color space. A chromatic adaptation transformation is derived using the color of the white patch in the device-dependent color space, the color of the empty (glass) area in the device-independent color space and the desired empty (glass) color in the target color space. An adapted calibration transformation is obtained by applying the chromatic adaptation transformation to the calibration transformation.

A method (and system) is provided obtaining an adapted calibration transformation for whole slide imaging, wherein the adapted calibration transformation is for outputting the color of an empty area of the slide in a whole slide image, WSI, as a desired color. The method comprises first receiving a color target WSI in a device-dependent color space, wherein the color target WSI is a WSI of a color target from a scanner represented in the device-dependent color space. The color target contains at least a white patch and three (near) primary color patches. A calibration transformation is obtained for transforming the device-dependent color space to a device-independent color space. A chromatic adaptation transformation is derived using the color of the white patch in the device-dependent color space, the color of the empty (glass) area in the device-independent color space and the desired empty (glass) color in the target color space. An adapted calibration transformation is obtained by applying the chromatic adaptation transformation to the calibration transformation.

An image processing device for performing correction processing on original image data generated by an image-capturing element configured to receive light with a plurality of pixels through a color filter including segments of a red color and at least one complementary color includes a processing circuitry being configured to perform operations including converting the original image data into primary color-based image data represented in a primary color-based color space, acquiring a statistical value of a plurality of pieces of pixel data corresponding to the plurality of pixels from the primary color-based image data, calculating a correction parameter by using the statistical value, and correcting the original image data based on the correction parameter.

An image processing apparatus includes a processor. The processor is configured to execute a program to input, to a learning unit, capture setting information that is used to capture an image before color conversion, a lightness of a background region of the image before the color conversion, and a set of the image before the color conversion and an image after the color conversion, and prepare color conversion characteristics for performing color conversion on an image in accordance with the capture setting information and the lightness of the background region.

An image processing apparatus includes a processor. The processor is configured to execute a program to input, to a learning unit, capture setting information that is used to capture an image before color conversion, a lightness of a background region of the image before the color conversion, and a set of the image before the color conversion and an image after the color conversion, and prepare color conversion characteristics for performing color conversion on an image in accordance with the capture setting information and the lightness of the background region.