The disclosure extends to methods, systems, and computer program products for producing an image in light deficient environments with luminance and chrominance emitted from a controlled light source.

A method of defining color separation for printing an image via NPacs, the method comprising: selecting a plurality of NPacs corresponding to a plurality of points within an RGB cube to provide a tessellation in RGB space translated to a valid tessellation in an NPac-related space; and defining color separation from the selected NPacs.

An image processing apparatus includes a presumed background region extractor for extracting a presumed background region presumed to include an image of a background from an input image, a threshold value determination module for determining a threshold value based on pixels in the presumed background region, an edge pixel extractor for using the threshold value to extract edge pixels from the input image, and a document region detector for detecting a document region from the edge pixels.

Disclosed are printing devices and methods that accommodate the use of multiple different output color modes and, thereby multiple different output color profiles and that support user selection of any of the profiles for printing different logical pages on a single print surface. Consequently, they do not require a user to trade off between a desire to achieve a particular result in an image on one logical page, wherein the particular result is only achievable with an extended gamut profile, and a desire to avoid the higher cost associated with unnecessarily using the extended gamut profile to print a different image on a different logical page on the same print surface. Thus, the printing devices and methods provide for rendering of both standard and enhanced quality images on the same print surface in accordance with user selections and for minimizing costs associated with printing (e.g., due to excessive colorant usage).

An image forming device includes an image forming unit that forms an image on a recording medium in response to an input of image data representing the image, a reading unit that reads a first image formed by the image forming device, and a second image formed by another image forming device to respectively generate a first read image and a second read image, the first image and the second image being formed based on identical image data, a discrimination unit that discriminates the first read image and the second read image from each other, and a color correction unit that performs, on the image formed by the image forming unit, a color correction that cancels out a difference in color between the first read image and the second read image.

The present disclosure relates to a computer implemented method for color separation for a printer, systems, and methods for printing using a printer. In some examples, the method for color separation for a printer comprises forming a color gamut for the printer in the form of a hull in a color space, the hull having vertices corresponding to Neugebauer Primaries, predicting the colorimetry in the color space of at least one Neugebauer Primary lying outside of an ink limit for the printer, determining the Neugebauer Primary area coverages that can produce a desired color in the color space using at least one Neugebauer Primary lying outside of the ink limit.

A processing apparatus which decompresses compressed data and outputs the decompressed data to a processing unit configured to perform conversion processing of converting the decompressed data into data for printing; the apparatus comprises: an input unit configured to input the compressed data; a calculation unit configured to perform calculation for decompressing the compressed data input by the input unit; and a correction unit configured to correct data generated by the calculation unit such that a value of the data becomes a specific value handled by the processing unit.

An image forming apparatus includes a printer, a drawing data creating circuit, a medium supply circuit, and a printing amount managing circuit that manages a printing amount. The medium supply circuit performs a primary supply and a secondary supply. The medium supply circuit starts the primary supply prior to completion of creating drawing data. The drawing data creating circuit fixes a color for use in printing. The printing amount managing circuit changes the printing amount according to a specified color specified in the print data before the drawing data creating circuit fixes the color for use when the printing amount needs to be changed to start the primary supply. The printing amount managing circuit corrects the printing amount according to the color for use when the printing amount is changed according to the specified color.

The present disclosure relates to an image processing apparatus, an image processing method, a program, and an endoscope system capable of obtaining an image with high color discrimination. A histogram generation unit generates histograms of pixel values for an input image regarding luminance Y, saturation S, and hue H. A histogram correction unit subtracts components of the saturation, the luminance, and the hue of a portion determined to be a foreign object by a foreign object detection unit from the histograms regarding the saturation, the luminance, and the hue generated by the histogram generation unit and then weights by a value of a standard histogram. The present disclosure may be applied to the endoscope system which performs color conversion on an image input from a camera head through a scope, for example.

The present disclosure discloses a method and a device for skin color detection. The method includes: reading an RGB image, and converting the RGB image from an RGB color space to an r-g color space, and obtaining an image to be detected; traversing and reading each pixel in the image to be detected, and calculating a first probability density of the pixel under a skin Gaussian mixture model and a second probability density of the pixel under a non-skin Gaussian mixture model according to a pre-established Gaussian mixture model; calculating the posteriori probability of the pixel belonging to a skin region according to the first probability density and the second probability density of the pixel; and attributing the pixel to the skin region when determining that the posteriori probability is greater than a preset posteriori probability threshold. Effective skin color detection under a case of a few samples is implemented.