Seiko Epson Corporation

Naoki Kuwata

Yoshihiro Nakami

Yasuhiko Murayama

Takashi Maruyama

Masashi Kanai

Ayako Kobayashi

Tatsuya Hosoda

Kenji Fukasawa

Takashi Nitta

Mikio Aoki

Ryoki Watanabe

Hidekuni Moriya

Junichiro Shinozaki

Hikaru Kurasawa

Michinao Osawa

Seiji Aiso

Yasumasa Nakajima

Teruyuki Nishimura

Ryohei Kuri

Kenji Matsuzaka

Isao Edatsune

Tsuneo Kasai

Koichi Yoshizawa

Hirokazu Kasahara

Masanori Ishida

Satoru Nishio

Hirokazu Ishida

Ayahiro Nakajima

Masayuki Seko

Kaori Matsumoto

An identification method for identifying a target to be measured includes accepting, from an input section, an information representing a condition for acquiring spectral information specific to a target to be measured, capturing, by a spectrometry camera, an image of the target, acquiring the spectral information specific to the target based on the captured image, and identifying the target based on (i) the spectral information and (ii) a database, stored in a memory, containing a plurality of pieces of spectral information corresponding to a plurality of objects. Acquiring the spectral information includes preferentially acquiring the spectral information specific to the target in a specific wavelength region where the target is identifiable.

Information system and identification method

A spectroscopic system includes a main body including a light source that radiates light to a light transmissive measurement target, an imaging device that captures an image based on transmitted light having passed through the measurement target, and a spectroscopy section that is provided in an optical path between the light source and the imaging device and selectively transmits light that belongs to a specific wavelength region, and an attachment that includes an optical path changer that changes the direction of the optical path of the light outputted from the light source and is so attached to the main body as to form a placement space which is located between the optical path changer and the main body and in which the measurement target is placed.

Spectroscopic system

A spectroscopic camera according to the present disclosure includes: a second light source; a first monochrome imaging element; a first spectral portion and a second spectral portion; and a control unit that controls operations of the second light source, the first monochrome imaging element, the first spectral portion, and the second spectral portion, the second light source and the first monochrome imaging element are disposed to be directed in the same direction, the first spectral portion is disposed between the first monochrome imaging element and the measurement target, and the second spectral portion is disposed between the second light source and the measurement target.

Spectroscopic camera and electronic device

A spectrometry device includes a spectroscope, an extraneous light sensor, and a light intensity controller. The spectroscope includes a light source that emits illumination light to a medium and a wavelength-selective interference filter that performs spectroscopy on light incident from the medium. The extraneous light sensor detects the intensity of extraneous light which is incident on the medium. The light intensity controller controls the intensity of the illumination light emitted from the light source such that the light intensity ratio of the illumination light and the extraneous light is equal to a first value.

Spectrometry device, image forming apparatus, and spectrometry method

A printer incorporating a spectrometry device includes a spectroscope that includes a light receiving optical system including a light receiver which receives reflected light from a range of measurement in a medium, a distance sensor that detects the distance between the medium and the spectroscope, and a reflecting mirror driver and an optical path adjuster that adjust the optical path of the reflected light which is incident on the light receiving optical system from the range of measurement according to the distance detected by the distance sensor.

Spectrometry device and image forming apparatus

A method for image processing image data having a plurality of picture elements. While scanning the image data, a scanned picture element is determined to be sampled or not according to a plurality of sampling methods until the scanned picture element is displaced to a next picture element (to be scanned) of the image data.

Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded

A computer calculates an edginess, which is an image variation from a differential value of data for adjacent picture elements, and determines object picture elements by selecting only images with a large variation. As optimum parameters for contrast correction and lightness compensation are calculated from image data for object picture elements, image processing indicators based on object picture elements are determined, and optimum imago processing can be performed automatically. After summing a luminance Distribution for each area of the image, which is a feature amount, while uniformly selecting picture elements, a reevaluation is performed by a weighting determined for each area, and a luminance distribution, strongly influenced by the luminance distribution of the photographed object is thus obtained with uniform sampling. After determining the intensity of this luminance distribution, the image data is converted, and image processing can therefore be performed with optimum intensity while reducing the processing amount.

A CPU selects multiple objective image data to be pasted on ornamental image data, analyzes the selected multiple objective image data, and rates the image qualities of the respective image data. The CPU specifies the number of plural layout locations included in the ornamental image data and the priority order of the plural layout locations, and allocates the multiple objective image data to the plural layout locations in the ornamental image data, based on the specified priority order and the ratings of the multiple objective image data. The CPU executes image quality adjustment with regard to the multiple objective image data allocated to the plural layout locations and pastes the quality-adjusted image data on the ornamental image data according to layout control information, so as to generate resulting output image data.

Output image data generating device and method of generating output image data

In image processing according to the prior art, the important part of photographic image data (referred to herein as the object) could not be determined and therefore required human participation. A computerwhich is the core of image processing calculates an edginess which is an image variation from a differential value of data for adjacent picture elements in a step SA, and determines object picture elements by selecting only images with a large variation in steps SA, SA. As optimum parameters for contrast correction and lightness compensation are calculated from image data for object picture elements in steps SA-SA, image processing indicators based on object picture elements are determined, and optimum image processing can be performed automatically. After summing a luminance distribution for each area of the image, which is a feature amount, while uniformly selecting picture elements in a step SB, a reevaluation is performed by a weighting determined for each area in a step SB, and a luminance distribution strongly influenced by the luminance distribution of the photographed object is thus obtained with uniform sampling. After determining the intensity of this luminance distribution insteps SB-SB, the image data is converted in a step SB, and image processing can therefore be performed with optimum intensity while reducing the processing amount.

A printing method includes obtaining scene information concerning image data from supplemental data that is appended to the image data; classifying a scene of an image represented by the image data, based on the image data; comparing the classified scene with a scene indicated by the scene information; and printing a printout that is used to urge a user to make a continuation when a mismatch between the classified scene and the scene indicated by the scene information exists.

Printing method, printing apparatus, and storage medium storing a program

The focusing information visualization system of the invention extracts an edge having an edge intensity of not less than a first reference value Thand an edge width of not greater than a second reference value Thin a photographic image and displays the extracted edge in a preset color at a position of the edge extraction to be overlapped with the original photographic image on a screen. A focused area defined by the extracted edge is displayed as N divisional areas. In response to a user's operational specification of one divisional area among the N divisional areas, an enlarged photographic image corresponding to the specified divisional area at a desired magnification ratio is displayed on the screen. This arrangement adopts the automatic rough judgment and the user's final visual check to accurately recognize the focusing status of the photographic image.

Focusing information visualization device, and corresponding method, program and recording medium

A CPUselects one or multiple image data GD to be pasted on ornamental image data among plurality of input image data GD and gains image processing control information GI related to the selected image data GD. The CPUselects desired ornamental image data FD and gains layout control information LI related to the selected ornamental image data FD. The CPUalso reads image quality adjustment information GC included in the layout control information LI. The CPUexecutes image quality adjustment of each of the selected image data GD with the image processing control information GI and the image quality adjustment information GC. The CPUpastes the respective image data GD, which have gone through the image quality adjustment, on the ornamental image data FD according to the layout control information LI to generate resulting output image data.

Method and device for image quality adjustment of multiple subject image data on layout locations in ornamental image data

An image-processing device adapted to the increased types of color printers without excessive manpower includes a common color correction unit, which carries out a conversion (color correction or customization) common to the models of color printers. Therefore, the method for conversion does not need to be changed depending on the type of color printer. As a result, color correction mode-adapted LUTs, stored color correction LUTs, and light source correction LUTs needed for the common color correction unit do not increase even if the models of color printers increase, and common LUTs can be used. Consequently, the manpower needed to fabricate the color correction mode-adapted LUTs, stored color correction LUTs, and light source correction LUTs does not increase even if the models of printers increase, so that the image-processing device can be adapted to an increase of the models of color printers without excessive manpower.

Image-processing device and method using combined color correction table

A CPUobtains and analyzes one or multiple image data GD, which are to be laid out on ornamental image data FD. The CPUalso obtains and analyzes desired ornamental image data FD to acquire a color distribution characteristic (representative color Fc). The CPUsets an analyzed correction level according to the result of the analysis of the image data GD and modifies the analyzed correction level based on the acquired color distribution characteristic, so as to set a modified color balance correction level. The CPUadjusts the color balance of the image data GD with the modified color balance correction level and pastes the color balance-adjusted image data GD onto the ornamental image data FD according to layout control information LI to generate output image data.

Growing community of inventors

Nagano-ken, Japan

Naoki Kuwata