An image forming apparatus comprises: an image processor to convert image data based on a conversion condition; an image forming unit to form an image based on the converted image data using a replaceable member; a memory to store the image data and the converted image data; a sensor to perform measurement on a test image; and a controller. If the replacement of the replaceable member is detected while forming images, the controller controls the image forming unit to form the test image and generates the conversion condition based on a result of the measurement on the test image. If the replacement of the replaceable member is detected while forming the images, the controller further controls the image processor to convert the image data stored in the memory based on the generated conversion condition.

A printing apparatus corrects image data for printing on the basis of a color measurement result obtained by a sensor, prints a set of first color tone correction patches on a first sheet with a predetermined size and prints a set of a second color tone correction patches on a second sheet with the predetermined size. When the first sheet and the second sheet are printed one after another, a color measurement result of the tone correction patches printed on the first sheet and the second sheet is used in correcting the image data for printing. When the first sheet and the second sheet with the predetermined size are not printed one after another, a color measurement result of the tone correction patches printed on the first sheet and the second sheet for correcting the image data for printing is not used in correcting the image data for printing.

An abnormal-pixel detecting device includes an image sensor and an image processor. The image sensor is configured to capture an image of a subject. The image processor is configured to calculate: a ratio between a first plurality of pixel values captured by the image sensor and a second plurality of pixel values whose reference position is shifted relative to the first plurality of pixel values in a main scanning direction to obtain a third plurality of pixel values; and detect an abnormal pixel in the third plurality of pixel values.

A method is described in which a first color is detected at a user-selected arbitrary position of a first print; a second color is detected at a user-selected arbitrary position of a second print printed by a printer; a color difference between the first color and the second color is determined; and settings of the printer are changed to reduce the color difference in further prints printed by the printer.

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.

Provided is an image processing device used for image processing in an image forming device that executes linear image forming in a first direction repeatedly in a second direction orthogonal to the first direction and executes two-dimensional image forming on a recording medium, the image processing device including: a processor configured to: acquire a phase of a member that contributes to image forming by rotating or circulating in the second direction and calculate, for each of different phases, an input/output gradation characteristic indicating a correspondence relationship in density in the same pixels in pre-output image data and post-output image data acquired by scanning of an image formed on the recording medium; calculates correction data to solve a difference between the input/output gradation characteristic in each of the phases and a reference input/output gradation characteristic; and correct the pre-output image data with the correction data of each of the phases.

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.

A method for determining a tonal vector for generating a control signal for a printing device includes providing a device-independent color value vector. The method includes transforming the device-independent color value vector into the tonal vector using a backward transformation. The method includes determining the backward transformation such that a cost function including an image difference metric term is minimized. The image difference metric term represents a difference between a reference image including device-independent color value vectors and a simulated image. The simulated image is determined by transforming an input image into a tonal image using the backward transformation and transforming the tonal image into the simulated image by using a forward transformation.

The present disclosure generally relates to user interfaces. In some examples, the electronic device provides for transitioning between simulated lighting effects. In some examples, the electronic device applies a simulated lighting effect to an image. In some examples, the electronic device provides user interfaces for applying a filter to an image. In some examples, the electronic device provides for a reduced filter interface. In some examples, the electronic device provides a visual aid displayed in a viewfinder.