Noritsu Koki Co., Ltd.

Nk Works Co., Ltd.

Noritsu Precision Co., Ltd.

Koji Kita

Tomoo Nakano

Yukiko Murata

Yumiko Nakagawa

Takahiro Miyamoto

Kazumi Watanabe

Noriyuki Nishi

Shunsaku Toshihiro

Yasuhiro Yakawa

Kuraji Nitta

Kensuke Mitsukura

Kouichi Kugo

Shigeru Omatsu

Yasue Mitsukura

Minoru Fukumi

Walter Grossman

Provided is an image processing device by which graininess of a target image is eliminated while outlines in the target image are maintained. The image processing device includes a smoothing unit and a weighted averaging unit. The smoothing unit is configured to generate a smooth image by smoothing the target image. The weighted averaging unit is configured to generate a weighted average image by performing weighted averaging of the target image and a difference image. The difference image is an image that is obtained by subtracting the target image from the smooth image.

Image processing device for eliminating graininess of image

An image processing apparatus that can be connected to a display device and removes blurring from a first-order image is provided. The image processing apparatus includes a generation unit, a display control unit, and a selection reception unit. The generation unit generates multiple I-th order intermediate images by performing blur correction in multiple blur directions on an I-th order image. The display control unit causes the multiple I-th order intermediate images to be displayed on the display device. The selection reception unit allows the user to select an (I+1)-th order image from among the displayed multiple I-th order intermediate images as a corrected image whose blurring has been reduced more than in the I-th order image. The generation unit, the display control unit, and the selection reception unit execute the above processing in order with respect to I=1, 2, . . . , K (K being a natural number).

Image processing apparatus, computer-readable medium storing an image processing program, and image processing method

A recording medium storing an image processing program according to one aspect of the present invention is a non-transitory computer-readable medium storing an image processing program to make a computer execute image processing on an image group on one timeline, the image processing program making the computer execute deriving a difference value that is based on a difference between pixel values of images that are adjacent in time series in the image group, and displaying a time-series difference image showing a time-series change in the difference value.

Recording medium storing image processing program and image processing apparatus

An image processing apparatus for removing noise from a frame group on a timeline is provided. This image processing apparatus includes a judgment unit, a division unit, and a removal unit. The judgment unit judges whether changing points where there is a large change between adjacent frames included in the frame group appear at roughly the same interval along the timeline. The division unit, in a case where it is judged that the changing points appear at roughly the same interval, divides the frame group into a plurality of groupings along the timeline in accordance with the interval. The removal unit removes noise from the frame group in units of the groupings.

Image processing apparatus and method for removing noise from a frame group

The image processing apparatus for detecting a moving object in a moving image includes a background generation unit configured to generate a background image of the moving image while updating the background image over time. The background generation unit includes a model derivation unit configured to derive a mixed distribution model having one or more distribution models for each pixel of interest, and a background value derivation unit configured to derive one or more background pixel values respectively corresponding to the one or more distribution models. The model derivation unit is configured to generate a new distribution model from pixel values of a plurality of pixels within a local region containing the pixel of interest in a first frame, and update the existing distribution model using a pixel value of the pixel of interest in a second frame that is different from the first frame.

An image processing apparatus including an image processing unit and configured to generate an enlarged image of an original image. The image processing unit is configured to generate the enlarged image by sequentially and repeatedly executing an edge-enhancement and enlargement process on the original image. The edge-enhancement and enlargement process is a process for enhancing edges in an image while enlarging the image.

Image processing apparatus, method of image processing, and recording medium storing image processing program

An image processing apparatus including a first image processing unit and a second image processing unit. The first image processing unit is configured to calculate a parameter for image processing based on a first image, but not based on a second image, and execute the image processing on the first image using the parameter. The second image processing unit is configured to execute the image processing on the second image using the parameter.

Image processing apparatus, recording medium storing image processing program, and method of image processing

An image processing apparatus including a dispersion calculation portion, an &#x3b5; deriving portion, and a filtering portion, and eliminates mosquito noise from a digitally compressed image having a plurality of color components. The dispersion calculation portion is configured to calculate, for each of the color components of each pixel contained in the digitally compressed image, a dispersion of pixel values of a plurality of pixels contained in a first region in which that pixel serves as a representative pixel. The &#x3b5; deriving portion is configured to derive, for each pixel contained in the digitally compressed image, a greatest value of the plurality of dispersions that respectively correspond to the plurality of color components of that pixel, or a corrected value of the greatest value, as an &#x3b5; value of an &#x3b5; filter for that pixel. The filtering portion is configured to apply the &#x3b5; filter to the digitally compressed image.

To provide a region detecting method capable of setting a proper threshold independently of a photographing condition and moreover, quickly and accurately detecting a specific region, which uses an image data storing sectionfor storing a sample imageand a purposed image, a first computing meansfor obtaining the extraction-region-identifying threshold data for a plurality of sample images including a common extraction region but having average color values different from each other in accordance with a genetic algorithm and generating a threshold tablefor the average color values, a second computing meansfor adaptively computing the extraction-region-identifying threshold data for the purposed imagein accordance with the average color value of the purposed image and the threshold table, and a third computing meansfor detecting an extraction region in accordance with the threshold data computed by the second computing means

Region detecting method and region detecting apparatus

An image processing module restricts granular noise present in photographic image data obtained by digitization of an image by utilizing a weighted average filtering operation. The module comprises a target pixel setting section, a difference value calculation section, a weight coefficient determining section and a filtering operating section. The target pixel setting section sets one target pixel after another from a group of pixels together constituting the photographic image data. The difference value calculating section calculates a difference value between a pixel value of the target pixel and each peripheral pixel present within a calculating area centering about the target pixel and is used for the weighted average filtering operation. The weight coefficient determining section determines a weight coefficient for use in the weighted average filtering operation, in accordance with the difference value. The filtering operating section obtains a corrected pixel value for the target pixel by effecting the weighted average filtering operation with the weight coefficient.

Image processing method and program for restricting granular noise and module for implementing the method

A method of detecting the base concentration of a film comprises the steps of generating a concentration histogram from the film image in each of the RGB color components, shifting and stretching the histograms in the other colors towards the histogram in the reference color in the concentration axial direction, calculating an superimposed area between the two histograms in the two color components after the stretching process, and finding the shift rate and the stretch ratio when a total of the respective superimposed areas calculated is the greatest value. As the minimum of the lowest concentration in the histograms at the shift rate and the stretch ratio determined is specified to represent the location of the base concentration in the original histogram, the base concentration in each color component of the film can be calculated from the location of the base concentration in the histogram.

Method and an apparatus for detecting the base concentration of a photographic film

A method of detecting the base concentration of a film is provided including: a film image entering process of reading a developed film with an image pickup device to generate the pixel values in each of the RGB color components; a non-exposure region detecting step of detecting the edge of each frame on the film from the detected pixel values and specifying as the non-exposure region each line of pixels disposed at the intermediate between any two adjacent frame-image edges from the detected edge data; and a base concentration calculating step of subjecting the pixel values in each non-exposure region specified in the non-exposure region detecting step to different arithmetic operations for calculating corresponding base concentrations of the film, whereby the highest of the base concentrations is judged as a true base concentration.

Method of detecting the base concentration of a photographic film

A method of determining image correction includes the steps of: obtaining image data representing a photographic frame image as source image data, effecting an image correction by a predetermined correction degree on the obtained source image data, thus generating corrected image data, displaying a correction reproduced image based on the corrected image data on a monitor, and fixedly determining a final correction degree for an image correction to be eventually effected on the source image data while monitoring the correction reproduced image. At the step for generating corrected image data, a plurality of corrected image data are generated by effecting the correction on the source image data with a plurality of differing correction degrees, and at the displaying step, a plurality of correction reproduced images based on selected ones from the plurality of corrected image data are displayed according to the order of correction degrees.

Method of determining image correction and image processing apparatus using the method

An image processing method for correcting pixel values of each pixel constituting color image data by shifting, in a coordinate system, a mathematical correction function defining correction values for input values. The method includes the computer-implemented steps of: (1) determining a maximum value and a minimum value among correction values of respective color components obtained for each pixel by using said correction function and then calculating differences between the respective correction values of the respective color components and said minimum value and calculating also a difference between said maximum value and the minimum value; (2) dividing the calculated differences between the respective correction values of the respective color components and the minimum value by the calculated difference between the maximum value and the minimum value, thereby to obtain color ratios for the respective color components; (3) judging, as an inappropriate pixel, any pixel having a correction value overflowing from a predetermined maximum output gradation value and setting the overflowing correction value to the predetermined maximum output gradation value and judging also, as an inappropriate pixel, any pixel having a correction value underflowing from a predetermined minimum output gradation value and setting the underflowing correction value to the predetermined minimum output gradation value; and (4) effecting color balance adjustment so as to cause the correction values of the inappropriate pixel to agree with said respective color ratio thereof.

Conversion correcting method of color image data and photographic processing apparatus implementing the method

A method of plotting a bright line which starts from the pixel at a bright point in an image where a more natural mode of a cross filter effect can be applied to any digital photographic image. The bright line plot processing method includes steps of generating an image of the bright line using a predetermined bright line definition format; generating data of the pixel at the bright point; generating data of each pixel for the bright line from the pixel data produced by attenuating the data of the pixel at the bright point at a predetermined attenuation rate along the lengthwise and/or widthwise direction of the bright line and the pixel data of the image to be processed; and plotting the data of the pixels for the bright line on the image to be processed.

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Wakayama, Japan

Koji Kita