Sony Corporation

Sony Olympus Medical Solutions Inc.

Sony Electronics Inc

Tatsuya Deguchi

Naoya Katoh

Naoya Kato

Alexander Berestov

Florian Ciurea

Satoshi Mitsui

Akira Shiga

Koichiro Kakinuma

Toru Wakagi

Ruihua Xiao

Takamasa Mikami

Makiko Baba

Hun Koo Park

A medical control device according to the present disclosure includes an image processing section adapted to generate a captured image on the basis of an electric signal generated by an imaging device that captures an image of a subject, and a light source control information generation section adapted to generate control information for controlling a light quantity distribution of illumination light, according to a brightness distribution of the captured image.

Medical control device and medical observation controlling projected illumination

A medical image processing apparatus includes: a receiver configured to obtain a captured image resulting from image capture of exciting light that is shed on an observed object and is provided by way of the observed object, and of fluorescent light that is excited by the exciting light and is provided from the observed object; and an image processor configured to perform image processing on the captured image. A light receiving surface of the image sensor is provided with a color filter. The captured image includes plural pieces of first component information about colors corresponding to the spectral characteristics of the plurality of filter groups, respectively. The image processor is configured to generate second component information by combining at least two pieces of first component information, and perform color correction processing that corrects the plural pieces of first component information based on the second component information.

Medical image processing apparatus and medical observation system

A medical image processing device includes an image processor configured to: generate an output image by combining a first captured image obtained by capturing light from an observation target irradiated with light in a first wavelength band and a second captured image obtained by capturing fluorescence from the observation target irradiated with excitation light, with corresponding pixels; output a brightness signal value of a target pixel to be generated in the output image, as either a brightness signal value of a first corresponding pixel corresponding to the target pixel in the first captured image or a brightness signal value of a second corresponding pixel corresponding to the target pixel in the second captured image; and output a color difference signal value of the target pixel in the output image as a value generated by using the brightness signal value of the second corresponding pixel.

Medical image processing device, medical observation system, and image processing method

To be capable of correcting a captured image to an image desirable to a user only by using a digital still camera. An RAMstoring the image data of an image for which tone correction is to be performed in a standard color space format and a tone correction circuitare provided. The image data is read out from the RAM, and the tone correction is performed for the readout image data in the tone correction circuit. In automatic tone correction, luminance signals of the image are statistically analyzed to categorize the image, and an appropriate correction curve is used to correct the image.

Digital still camera and image correction method

A dynamic range is widened by effectively using an output range that is originally possessed by a solid-state image-capturing device, and an image having less color hue rotation is obtained. By using the fact that the margin until the amount of saturation electric charge is reached becomes large as a result of the amount of exposure being set to be low in a high sensitivity mode, an RGB signal having a wide dynamic range containing signal components of a subject on the high-luminance side is obtained. First, &#x3b3; correction close to a power &#x3b3; is performed and thereafter, the signal is color-space-converted into a luminance signal and color-difference signals. A non-linear compression process is performed on the luminance signal so as to be fit into predetermined gradations, and for the color-difference signals, color rotation is reduced using a power gamma and color-difference matrix clipping is performed.

Image signal processing device and image signal processing method

A method of evaluating halo artifacts is described herein. The method utilizes a pattern of color patches, a color space and color difference metrics to analyze color changes which correlate to the amount of halo. The pattern of color patches is utilized in the CIE L*a*b* color space to determine an area of patch unaffected by halo of the pattern of color patches. After the area of patch unaffected by halo is determined, a Reference Value is computed by averaging the CIE L*a*b* color for the area of patch unaffected by halo. Then an Artifact Value is calculated either by averaging the CIE L*a*b* color for the area outside the area of patch unaffected by halo but before the margin or by averaging the CIE L*a*b* color on the edge of the patch. Once these values are determined, the halo quantity is calculated.

Color metric for halo artifacts

An imaging apparatus includes an imaging unit configured to take an image of a subject; a histogram producing unit configured to produce a histogram of image data of the image; a tone correction unit configured to make a tone correction on the image data; a feature histogram table including a plurality of feature histograms respectively corresponding to a plurality of reference image patterns; an input-output characteristic table including a plurality of input-output characteristics respectively corresponding to the plurality of feature histograms; an input-output characteristic adjustment unit configured to calculate the similarity of the histogram produced by the histogram producing unit with respect to each feature histogram, to select an input-output characteristic according to the calculated similarity, and to adjust the selected input-output characteristic in accordance with the similarity, wherein the tone correction unit is configured to make the tone correction based on the input-output characteristic adjusted by the input-output characteristic adjustment unit.

Apparatus, method, and program for taking an image, and apparatus, method, and program for processing an image

A digital camera that corrects a captured image. A memory for storing the image data of an image for which tone correction is to be performed in a standard color space format. A tone correction circuit for performing tone correction. The image data is read out from the memory, and the tone correction is performed. In automatic tone correction, luminance signals of the image are statistically analyzed to categorize the image, and an appropriate correction curve is used to correct the image.

A printer device and a picture printing method is disclosed, in which, if the gradation for cyan is to be represented, an ink C&prime; of low concentration is superimposed to represent the low gradation area. This cyan ink is used in combination with a high-concentration blue ink B and a high-concentration green ink G to represent a high gradation area. In representing the high gradation area, the emitting proportions of the high-concentration blue ink B and the high-concentration green ink G are changed to enable the color hue in the high gradation area to be varied delicately to improve color reproducibility.

Printer and printing method

Information on ambient light (viewing environment information) input from ambient light input section is fed to viewing environment converting section , which determines measured color values of monitor , and then fed to profile updating section and contrast correcting section . The contrast correcting section corrects the contrast according to the measured color values. Information on the setting of the monitor fed from monitor control section is supplied to monitor setting values converting section , where TRCs and a matrix are generated according to the modified setting information and supplied to the profile updating section . The profile updating section updates the profiles stored in memory by means of newly generated profiles.

Growing community of inventors

Kanagawa, Japan

Tatsuya Deguchi