A color correspondence information generating system includes an object database that stores correspondences between recognition information and color characteristic information about first objects recognized by the recognition information;

an object recognition section that recognizes the first objects in the first image from the first image and the recognition information, and outputs image regions of the first objects in the first image and first color characteristic information; and a color correspondence information generation section that generates the color correspondence information using the color information and the first color characteristic information of pixels in the image regions. The color characteristic information and the recognition information have a one-to-one correspondence relation with each other, or the color characteristic information is the recognition information itself.

The present invention provides an image processing device that reproduces the color of an input image more faithfully under different environment illumination without the need to prepare a different signal separation LUT for different environment illumination. An image processing device in one embodiment of the present invention generates data for generating an overlap image by overlapping an image formed by an image forming device and an image projected by an image projection device. The image processing device includes a generation unit configured to, based on input image data, generate first image data for the image forming device and second image data for the image projection device, a first acquisition unit configured to acquire environment illumination information relating to environment illumination in generating the overlap image, and a correction unit configured to correct the second image data based on the environment illumination information.

An image processing system receives image data acquired by an imaging device, and separates one or more achromatic colors from one or more chromatic colors in the received image data. The achromatic colors and the chromatic colors are processed based at least on a color temperature and lux to generate an adjusted color appearance for the achromatic colors by applying one or more defined weight values associated with the achromatic colors or the chromatic colors, respectively. The defined weight values associated with the one or more achromatic colors are different than the defined weight values associated with the one or more chromatic colors. A final image is generated using the adjusted color appearance for the one or more achromatic colors and the adjusted color appearance for the one or more achromatic colors that is more aligned with human vision and cognitive systems.

A terminal device calibrates a to-be-detected image based on a light source color temperature and scene brightness that are obtained during imaging of the to-be-detected image and based on a preset reference color card image set to restore a real color of the to-be-detected image to a greatest extent.

An apparatus includes a generation unit configured to generate shape information of an object in a captured image, a component acquisition unit configured to acquire an auxiliary light component representing intensity of an auxiliary light at each pixel of the captured image based on a light amount characteristic representing a light amount of the auxiliary light received by the object when the auxiliary light is emitted and the shape information of the object, a first correction unit configured to generate a first corrected image in which color of the captured image is corrected according to environmental light, a second correction unit configured to generate a second corrected image in which color of the captured image is corrected according to the auxiliary light, and a combining unit configured to combine the first corrected image and the second corrected image at a combination ratio calculated based on the auxiliary light component.

An image processing apparatus comprises: an obtaining unit configured to obtain a dynamic range of a captured image on captured image data; a determination unit configured to determine a dynamic range of a printed product when viewed obtained by printing the captured image based on the captured image data, based on printing information on viewing of the printed product; and a conversion unit configured to perform conversion processing for luminance of the captured image data to the dynamic range determined by the determination unit from the dynamic range obtained by the obtaining unit.

An image processing apparatus converts, according to light on an image printed based on input image data, the input image data into image data for illumination output superimposed on the image, includes a deriving unit deriving an observing condition, an estimating unit estimating luminance characteristics based on the observing condition and reflectance characteristics corresponding to print image data, an introducing unit introducing target luminance characteristics based on the print luminance characteristics, a setting unit setting illumination converting characteristics converting the input image data into the image data for illumination output based on the print luminance characteristics and the target luminance characteristics, and a converting unit converting gradation of the input image data using the illuminance characteristics, and the introducing unit introducing the target luminance characteristics such that, when reproducing ranges in the print luminance characteristics are different, a linear region of output luminance of relatively large reproducing range becomes larger.

A method for facial skin age estimating and electronic device. The method includes: adjusting illumination component and color component of a facial image depending on a reference image; analyzing a plurality of evaluation index for assessing skin condition on interest area of the facial image and estimating the skin age of the facial image, according to the evaluation index.

A method for processing an image may include: collecting an ambient light spectrum while capturing an image (10); determining RGB tristimulus values corresponding to ambient environment of the captured image based on the collected ambient light spectrum and a color filter absorption curve (11); determining skin color coordinates based on the collected ambient light spectrum and a spectral absorption curve of a skin color model (12); and determining RGB values in the skin color model based on the RGB tristimulus values and the skin color coordinates (13).

The present disclosure provides a white balance processing method. The white balance processing method includes the following. Each image of the plurality of successive frame images is processed to determine color temperature corresponding to a main light source. It is determined whether a variation of primary color temperature is greater than or equal to a predetermined threshold. The variation of primary color temperature refers to a difference between the color temperature of the main light source in a second frame image subjected to the color temperature variation and the color temperature of the main light source in a first frame image subjected to the color temperature variation. The white balance process is performed on the second frame image subjected to the color temperature variation according to the color temperature of the main light source in the first frame image subjected to the color temperature variation when the variation of primary color temperature is less than the predetermined threshold.