A method with image transformation includes: identifying an original image; and determining a transformed image by inputting the original image to a neural network model configured to transform a color of the original image, wherein the neural network model comprises an operation block configured to perform white balancing on the original image, a correction block configured to correct a color of an output image of the operation block, and a mapping block configured to apply a lookup table to an output image of the correction block.

Apparatuses, systems, and methods related to an image processor formed in an array of memory cells are described. An image processor as described herein is configured to reduce complexity and power consumption and/or increase data access bandwidth by performing image processing in the array of memory cells relative to image processing by a host processor external to the memory array. For instance, one apparatus described herein includes sensor circuitry configured to provide an input vector, as a plurality of bits that corresponds to a plurality of color components for an image pixel, and an image processor formed in an array of memory cells. The image processor is coupled to the sensor circuitry to receive the plurality of bits of the input vector. The image processor is configured to perform a color correction operation in the array by performing matrix multiplication on the input vector and a parameter matrix to determine an output vector that is color corrected.

This disclosure provides systems, methods, and devices for image processing that support enhanced white balancing operations. In a first aspect, a method of image processing includes receiving first image data from an image sensor; determining to adjust a white balancing operation from a first white balance point to a second white balance point; determining a first intermediate white balance point based on the first white balance point, the second white balance point, and a white balance reference line; receiving second image data from the image sensor; and applying white balancing to the second image data based on the first intermediate white balance point. Other aspects and features are also claimed and described.

This invention provides a system and method for displaying color match information on an acquired image of an object. A model/pattern having a plurality of color test points at locations of stable color is provided. A display process generates visible geometric shapes with respect to the color test points in a predetermined color. An alignment process aligns features of the object with respect to features on the model so that the geometric shapes appear in locations on the object that correspond to locations on the model. The geometric shapes can comprise closed shapes that surround a region expected to be stable color on the object. Such shapes can define circles, squares, diamonds or any other acceptable closed or open shape that is visible to the user on the display.

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 capturing apparatus includes an image sensor configured to change an exposure condition for each of a plurality of exposure areas, each of the exposure areas including a single pixel or a plurality of pixels, and an image processing unit configured to perform steps of digital signal processing on a signal of a captured image includes generating a plurality of coupled areas in which the exposure areas are coupled based on a first threshold of the exposure condition, calculating a development parameter for each of the coupled areas, and applying the development parameter to the image processing unit for each of the exposure areas.

A gain modification device (20) includes a plurality of gain modification units (31) whose number of units corresponds to a number of kinds of a plurality of signals input to the plurality of gain modification units, each one of the plurality of gain modification units (31) being configured to modify a gain value used to amplify the plurality of signals, and a plurality of gain reflection control units (44) configured to change a timing at which the gain value is to be switched by the plurality of gain modification units (31) such that the gain value of one of the plurality of signals affecting a signal level of another one of the plurality of signals is switched at a timing different from a timing at which the gain value of the another one of the plurality of signals is switched.

An image capturing unit captures an image including an embedded image that is printed on the basis of image data in which at least a color component has been modulated according to additional information. An adjustment unit adjusts a white balance of the image captured by the image capturing unit on the basis of an adjustment value associated with the embedded image. A processing unit processes image data of the image captured by the image capturing unit whose white balance has been adjusted by the adjustment unit to read the additional information in the image captured by the image capturing unit.

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.

There is provided an information processing apparatus configured to obtain criterion data, which is reference image data, by executing a adjustment parameter determining program, obtain evaluation data which is image data scanned by a scanner, generate a plurality of pieces of comparison data by adjusting the evaluating data using a plurality of adjustment parameters different from each other, respectively, associate each comparison data with an adjustment parameter used to generate the comparison data, and display the criterion data and the plurality of pieces of comparison data in a list. When a selecting operation of selecting one from the plurality of pieces of comparison data is performed, the information processing apparatus determines an adjustment parameter for the scanner based on the adjustment parameter associated with the selected comparison data.