A method and system for rendering a gloss effect image on a recording medium, can involve creating with a processor, a mirror of a gloss effect image of a gloss mark located on a front side of a recording medium, and rendering with a color printer having marking materials, the mirror of the gloss effect image on a back side of the recording medium directly opposite the gloss mark located on the front side of the recording medium. The processor can include a digital front processor that communicates with the color printer. The gloss effect image of the gloss mark can be, for example, a micro gloss feature or a macro gloss feature.

A color conversion information generation apparatus converts a first coordinate value into a second coordinate value in a second color space by using first conversion information, acquires a colorimetric coordinate value in a first color space indicating a colorimetric result of an image output by a first output apparatus according to the second coordinate value, converts the second coordinate value into a third coordinate value by using second conversion information, determines a target coordinate value indicating a target color in the first color space based on the third coordinate value and a difference between the first coordinate value and the colorimetric coordinate value, retrieves a fourth coordinate value satisfying a condition that a color difference between a fifth coordinate value in the first color space obtained by converting a fourth coordinate value in the second color space by using the second conversion information and the target coordinate value is smaller than a color difference between the third coordinate value and the target coordinate value, and generates color conversion information used to convert the first coordinate value or a name of a color into a coordinate value in the second color space based on the first coordinate value and the fourth coordinate value satisfying the condition.

A method for generating device-dependent color values which satisfy a colorant limit for an output device includes, for an input color defined by input values for three color channels in a first device-dependent color space, converting the input values to a hue angle , a saturation S, and value V in a second device-dependent color space. Minimum, maximum and middle ones of the input values are identified. The minimum is set to zero and the middle adjusted to maintain the input hue angle. A hue leaf relating output colorant mixture to input color can be constructed for the hue angle, and partitioned into regions. The region of the hue leaf containing the input color is identified and interpolated to identify intermediate values for the input color in a third device-dependent color space, such as CMYK. Output values in the third device-dependent color are the intermediate values or values derived therefrom.

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 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 image processing apparatus includes a reception unit and a conversion unit. The reception unit receives as a designated color a color of an image desired to be seeable when irradiated with light at a specific wavelength. The conversion unit converts, when converting image data on an image to be printed into print data, a color value of the designated color received by the reception unit into a color value including a value for outputting a special color material that has absorption properties for the light at the specific wavelength.

An image processing is configured to convert a color of a first object into gray having first brightness and a color of a second object into gray having second brightness lower than the first brightness by a fixed value in response to receiving color data including the first object and the second object, and output gray data based on the first brightness of gray into which the color of the first object is converted and the second brightness of gray into which the color of the second object is converted.

A printer includes a forming device configured to form images with non-decolorable printing material and decolorable printing material. The printer further includes an interface configured to acquire a document image and a memory configured to store an auxiliary image relating to post-processing. The printer additionally includes a controller configured to print the document image with the non-decolorable printing material on a medium by using the forming device, and print the auxiliary image with the decolorable printing material on the medium by using the forming device.

In a document represented by CMYK process colors, a color that a user wishes to remove is prevented from remaining without being removed by specified color removal, and even a color that the user does not wish to remove by rights is prevented from being removed.

Examples analyze a digital image to determine an amount of high-frequencies corresponding to each pixel of the digital image based at least in part on gradients corresponding to a pixel neighborhood of each pixel. Examples analyze the digital image to determine a degree of randomness for each pixel based at least in part on the corresponding gradients. Examples generate an activity mask for the digital image based at least in part on the amount of high-frequencies and the degree of randomness corresponding to each pixel. Examples process the pixels of the digital image by performing gray component replacement to generate a color transformed image based at least in part on the activity mask.