A computing device may obtain an input image. The input image may have a white point represented by chrominance values that define white color in the input image. Possibly based on colors of the input image, the computing device may generate a two-dimensional chrominance histogram of the input image. The computing device may convolve the two-dimensional chrominance histogram with a filter to create a two-dimensional heat map. Entries in the two-dimensional heat map may represent respective estimates of how close respective tints corresponding to the respective entries are to the white point of the input image. The computing device may select an entry in the two-dimensional heat map that represents a particular value that is within a threshold of a maximum value in the heat map, and based on the selected entry, tint the input image to form an output image.

Methods and systems are described for processing an image captured with an image sensor, such as a camera. In one embodiment, an estimated ambient light level of the captured image is determined and used to compute an optical-optical transfer function (OOTF) that is used to correct the image to preserve an apparent contrast of the image under the estimated ambient light level in a viewing environment. The estimated ambient light level is determined by scaling pixel values from the image sensor using a function that includes exposure parameters and a camera specific parameter derived from a camera calibration.

An image acquisition apparatus includes: a multispectral image sensor configured to acquire images in at least four channels based on a second wavelength band of about 10 nm to about 1,000 nm; and a processor configured to estimate illumination information of the images by inputting the images of at least four channels to a deep learning network trained in advance, and convert colors of the acquired images using the estimated illumination information.

An image processing apparatus includes: an input device to which a pre-color conversion image and a post-color conversion image are input; and a processor. The processor is configured to execute a program to extract color data in a certain region of at least one of the pre-color conversion image and the post-color conversion image, change at least one of a position and a range of the certain region in a case where the extracted color data meet a certain condition, and prepare a color conversion model using color data in the certain region after being changed.

Color filters are used for color images obtained using imaging devices such as conventional image sensors. Imaging elements with color filters are sold, and an appropriate combination of the imaging element and a lens or the like is incorporated in an electronic device. Only providing a color filter to overlap a light-receiving region of an image sensor reduces the amount of light reaching the light-receiving region. An imaging system of the present invention includes a solid-state imaging element without a color filter, a storage device, and a learning device. Since the color filter is not included, colorization is performed on obtained monochrome image data (analog data), and coloring is performed using an AI system.

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.

Aspects of the disclosure provide for a method. In some examples, the method includes printing a target plot comprising a color ramp, scanning the target plot via a first image scanner to determine first scan results indicating a relationship between a scanned measurement determined by the first image scanner and lightness of a scanned portion of the target plot, scanning the target plot via a second image scanner to determine second scan results indicating a relationship between a scanned measurement determined by the second image scanner and lightness of the scanned portion of the target plot, and determining a lookup table indicating a difference determined based on the first scan results and the second scan results.

The invention is a system for color analysis, which comprises a hand-held device and a working platform. The hand-held device is provided with a camera and installed with analysis software. The work platform is placed with an object to be tested, a standard color carrier is installed at both front and rear sides or at both left and right sides of the object to be tested, a positioning frame extends upward around the working platform, the positioning frame and the working platform are mutually formed an inclination angle, and the positioning frame is used to fix the hand-held device. In this way, the camera can shoot the working platform in an inclined direction, and then the analysis software is used to compare a color difference between the object to be tested and the standard color carrier to obtain analysis result of the object to be tested.

An apparatus includes an acquisition unit configured to acquire a pair of first data and second data, the first data being obtained by imaging an object under a first environment, the second data being obtained by imaging the object under a second environment, and a processing unit configured to generate a three-dimensional lookup table by using the pair of the first data and the second data, the three-dimensional lookup table holding a condition for image processing to convert the first data into the second data.

Some implementations relate to determining whether glare is present in captured image(s) of an object (e.g., a photo) and/or to determining one or more attributes of any present glare. Some of those implementations further relate to adapting one or more parameters for a glare removal process based on whether the glare is determined to be present and/or based on one or more of the determined attributes of any glare determined to be present. Some additional and/or alternative implementations disclosed herein relate to correcting color of a flash image of an object (e.g., a photo). The flash image is based on one or more images captured by a camera of a client device with a flash component of the client device activated. In various implementations, correcting the color of the flash image is based on a determined color space of an ambient image of the object.