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.

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.

In a first aspect, the invention relates to a method for improving an image quality when printing an electronic image file by a user, the method comprising (a) receiving an original electronic image file from a user, (b) generating a modified electronic image file, and (c) providing the modified image file to the user. In particular, other printing data are also received from the user, which printing data comprise at least a printer model and optionally a firmware version according to a non-limiting embodiment, in which the modified image file is generated taking into account said printer data. In a further aspect, the invention relates to a computer-implemented system.

Disclosed are systems, methods, and computer-readable storage media to enhance an image on a mobile computing device. In some aspects, a user interface on the mobile computing device provides a plurality of image filters, each of the image filters associated with a different replacement sky type. Upon application of one of the plurality of image filters to an image, the mobile computing device is configured to identify a sky portion of the image, modify a color mapping of a non-sky portion of the image, and replace the sky portion of the image with replacement sky data corresponding to the applied image filter.

The present application includes methods, systems and computer readable storage devices for determining a color score for at least a portion of a biological tissue. The subject matter of the application is embodied in a method that includes obtaining a digital image of the biological tissue, and receiving a selection of a portion of the image as an evaluation area. The method also includes determining for each of a plurality of pixels within the evaluation area, a plurality of color components that are based on a Cartesian color space, and determining, from the color components, a hue value in a polar coordinate based color space. The method further includes determining a color value based on the hue value for each of the plurality of pixels, and assigning a color score to the evaluation area based on an average of the color values of the plurality of pixels.

A method of creating a custom color adhesive securement arrangement for use with a patient interface includes performing a scan of a patient's face, extracting color values of a portion of the patient's face from the scan, determining one or more colors based on the extracted color values, obtaining an adhesive sheet having the one or more colors, and cutting the securement arrangement from the adhesive sheet.

A color conversion section for an imaging device carries out conversion to imaging data imaged by each medical imaging device for eliminating differences in color property of each imaging device, and generates standard color graphic data. To this standard color graphic data, a color conversion section for highlighting a specific tissue carries out color conversion for highlighting a designated specific biotissue, such as a blood vessel, to generate specific tissue highlighted graphic data. To this specific tissue highlighted graphic data, a color conversion section for a monitor carries out conversion for eliminating differences in color property of each monitor to generate display data. Color monitors display graphics based on this display data.

The invention provides an image color enhancement system, method, storage medium and endoscope. Based on that the human skin color and the basic tone of endoscopic image are similar, utilizing a standard data set of Macbeth color card, a color correction matrix for skin color enhancement is generated, which is used by an endoscope for real time image capture, resulting in a vivid expression of the basic tone of an endoscopic image without introducing artifacts in other tonal image parts.

An image processing apparatus includes an image acquire unit that acquires an image in which at least one element in a first color space has linear characteristics; and a processor. The processor is configured to adjust a white balance of the image which is acquired by the image acquire unit; control the adjustment of the white balance, on the basis of a specific color serving as a reference; convert each of a plurality of portions in the image in which the white balance has been controlled by the adjustment of the white balance, into one element in a second color space; and apply predetermined image processing to the acquired image in which the white balance has not been adjusted, by using the converted information.

A computer-controlled system determines attributes of a frexel, an area of human skin, and applies a modifying agent (RMA) at the pixel level, typically to make the skin appear more youthful and so more attractive. The system scans the frexel, identifies unattractive attributes, and applies the RMA, typically with an inkjet printer. The identified attributes relate to reflectance and may refer to features such as irregular-looking light and dark spots, age-spots, scars, and bruises. Identified attributes may also relate to the surface topology of the skin, for more precisely enhancing surface irregularities such as bumps and wrinkles. Feature mapping may be used, for example to make cheeks appear pinker and cheekbones more prominent. The RMA can be applied in agreement with identified patterns, such as adding red to a red frexel, or in opposition, such as adding green or blue to a red frexel, according to idealized models of attractiveness.