Techniques of editing images using a digital image editing tool involve defining a local adjustment that includes, as separate masks, a spatial mask and a range mask. The spatial mask specifies a region of the image to be adjusted and the range mask specifies ranges of colors and tones to be adjusted independent of the region specified by the spatial mask. In applying these masks, when a user changes a setting in the digital image editing tool, the digital image editing tool weights the effect of the setting according to the values of the spatial mask and the range mask for each pixel of the image.

An image processing apparatus with a processor and a memory storing instructions, that, when executed, cause the processor to obtain HDR data representing a high-dynamic range (HDR) image, in an image transfer function of the HDR data, a tone of each pixel is defined based on a relative luminance value, to obtain print information to perform printing based on the obtained HDR data, to set luminance information to be a target absolute luminance value, and to perform a luminance conversion on the HDR data so that a tone of each pixel is defined based on an absolute luminance value and the target absolute luminance value being a maximum luminance, to convert a dynamic range of luminance of the HDR data, on which the luminance conversion has been performed, into a dynamic range corresponding to printing of an image on a print medium performed based on the print information.

An information processing device includes: an acquisition unit configured to acquire color information on a specific color included in an inspection image, and a determination condition for determining a color shift with respect to the specific color; and a controller configured to: determine, based on the color information and the determination condition acquired by the acquisition unit, test image data representing a plurality of test images to be formed by an image forming apparatus; output the determined test image data to the image forming apparatus in order to form the plurality of test images; acquire luminance data on the plurality of test images, the luminance data being output from a color sensor; acquire spectral data on the plurality of test images, the spectral data being output from a spectroscopic sensor.

A color chart includes a first portion and a second portion. The first portion includes no patch. The second portion includes a plurality of patches having different densities or luminances. The plurality of patches includes a reference patch indicating a color having a reference density or luminance. The reference patch is adjacent to the first portion. The plurality of patches is located in order of increasing density from the density of the color indicated by the reference patch, decreasing density from the density of the color indicated by the reference patch, increasing luminance from the luminance of the color indicated by the reference patch, or decreasing luminance from the luminance of the color indicated by the reference patch.

An image processing method in a diagnosis assisting device that diagnoses lesions from a picked-up image, the method including A) performing an image correction on the picked-up image for diagnosis, and B) obtaining an input image to an identifier that identifies diseases based on the picked-up image having undergone the image correction. In A), when a brightness correction is performed as the image correction, a peripheral area other than a diagnosis area that has a high probability as diseases in the picked-up image is set to be a measuring area, a brightness histogram is created relative to the measuring area, a correction gain value is calculated based on a peak value of the created brightness histogram, and each of pixels in a color space is corrected by using the calculated correction gain value.

An image processing apparatus for displaying on a display device an image corresponding to a printed product observed in a predetermined observation environment. The apparatus includes one or more memories storing instructions, and one or more processors executing the instructions to obtain image data, to obtain a lighting luminance in the predetermined observation environment, to set a maximum luminance to be displayed in the display device according to the obtained lighting luminance, to convert the obtained image data according to the obtained lighting luminance, and to output the converted image data to the display device whose maximum luminance to be displayed has been set according to the obtained lighting luminance.

A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.

Provided are a diagnosis assisting device that facilitates a user to grasp a difference of an affected area to perform a highly precise diagnosis assistance, an image processing method in the diagnosis assisting device, and a program. An image processing method in a diagnosis assisting device that diagnoses lesions from a picked-up image includes (A) performing an image processing on the picked-up image. In (A), a peripheral area other than a diagnosis area that has a high probability as diseases in the picked-up image is set to be a measuring area when an image correction is performed.

An information processing device includes: an acquisition unit configured to acquire color information on a specific color included in an inspection image, and a determination condition for determining a color shift with respect to the specific color; and a controller configured to: determine, based on the color information and the determination condition acquired by the acquisition unit, test image data representing a plurality of test images to be formed by an image forming apparatus; output the determined test image data to the image forming apparatus in order to form the plurality of test images; acquire luminance data on the plurality of test images, the luminance data being output from a color sensor; acquire spectral data on the plurality of test images, the spectral data being output from a spectroscopic sensor.

A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.