Minolta Company, Ltd.

Konica Minolta Business Technologies, Inc.

Konica Minolta Opto, Inc.

Toshitsugu Yamamoto

Satoshi Deishi

Masahiro Hayakawa

Kenji Masaki

Naoko Hiramatsu

Fumiko Uchino

Seiji Ohshima

Osamu Tanaka

Motohiro Asano

Hidehiko Fujii

Xiaochen Zhang

Shinichi Iizuka

Kenichi Fujisawa

Shunji Oku

This gas leak position estimation device is provided with a specifying unit and a first determination unit. The specifying unit specifies a gas region image indicating a region in which the gas hangs in an image obtained by photographing a monitoring region. The first determination unit determines a pixel indicating a gas leak estimated position estimated to be a position at which the gas is leaking out from a plurality of pixels constituting an outline of the gas region image.

Gas leak position estimation device, gas leak position estimation method and gas leak position estimation program

An image processing apparatus MFP includes a memory for storing color data of a plurality of picture elements together with a correlation to identification information for identifying each picture element, and storing a reference value and a statistical value for each of a predetermined number of baskets; a classifying unit for classifying each of the plurality of picture elements into one of the baskets based on the color data and the reference value corresponding to the basket; a calculating unit for calculating the statistical value and the reference value of the basket accommodating the classified picture element based on the color data corresponding to the picture element; and a determining unit for determining a representative color of each basket based on the statistical value, and outputting the representative color of each basket and a result of the classification of each picture element.

Image processing apparatus, image processing system, image processing method and image processing program for performing color classification of image data

In image processing in which each small area included in color image data, which is represented by C, M, Y, and K, is expressed by a predetermined number of representative colors, values of color parameters are obtained for a small area from the values of the color parameters for C, M, Y, and K for each pixel in the small area, so that the values of the color parameters have degrees of variation being compensated to become smaller in the group as the value for black becomes larger. One color parameter to be targeted is selected (#) based on the degree of variation in the values of individual color parameters in the group. A reference value to be used for grouping the pixels is obtained based on the relationship between the values of the color parameter to be targeted in the group and the quantities of pixels in the group. Based on the reference value, the pixels are divided into groups (#), and a representative color for each group is obtained (#).

Image processing method, image processing apparatus, image data compression device, and computer program

An image processing apparatus executes an area dividing process on color image data that have been divided into blocks of a prescribed size, and for each block, selects a three-color mode when tone gradation is of higher priority and a four-color mode when resolution is of higher priority, as a color mode for an area averaging process. The image processing device executes a compression process in the selected color mode block by block, and outputs image data in a data format of 256 bit length, regardless of the color mode for compression.

Image processing method of compressing image data to be suitable for data transmission

In image processing that expresses a small region with a predetermined number of representative colors, the image processing being carried out for each of small regions, with respect to the content of one small region, based on the extent of variation in that small region of each of the values of a plurality of color variables that express the color of each pixel, a target color variable is selected (#), among values from the maximum value to the minimum value of the target color variable in that small region, a value of the target color variable for which the number of pixels is '0' is obtained as a reference value, and the pixels in that small region are grouped based on the reference value (#), and a representative color of each group is obtained (#).

Image processing method, image processing apparatus, image data compression apparatus, and computer program readable storage medium

An image data compression method includes the steps of dividing image data into predetermined regions, generating modeled data by extracting a feature of the image data for each of the regions, performing trial calculation of data quantity of compressed data that is generated by a thinning-out process in which data is thinned out from the modeled data based on a threshold value concerning the thinning-out process, determining a thinning-out threshold value that is a threshold value such that the data quantity becomes equal to or less than a predetermined target data quantity, and performing the thinning-out process based on the thinning-out threshold value so that compressed data is generated.

Image data compression method and image data compression device

A printer divides an input image into a plurality of blocks and extracts a block image corresponding to each of the blocks. The colors of the block image are reduced to, for example, four colors. Index numbers are given to pixels of the color-reduced image, and the four colors are assigned. To a color palette in which color information of the four colors is described in correspondence with the index numbers, object information indicative of the kinds of images (for example, a character, a chart, and a photographic image) is added. Consequently, the handling performance of object information for use in an image processing such as a color conversion process is improved.

Image processing system and image processing method

There is provided an image processing apparatus employing an error diffusion method capable of preventing a pseudo contour attributable to a delayed dot. The image processing apparatus receives an error diffused from a neighboring pixel and corrects a value (an input value of 0 to 1) of a pixel to be processed before it reduces a tone. Then a subtracter calculates an error associated with the tone reduction, which is diffused to a neighboring pixel. Herein, only for an input value of no less than 0.5 an inversion portion multiplies by &#x2212;1 an error from a neighboring pixel and an error to a neighboring pixel. Thus a dot can be free of delay to prevent a pseudo contour.

Image processing apparatus capable of preventing pseudo coutour

A method for compressing image data on which a pseudo gradation process has been performed by using a dither pattern is provided. The method includes the steps of dividing the image data into predetermined blocks, calculating a typical value if an arrangement pattern of image data in each block can be reproduced by using a dither pattern that was used for the pseudo gradation process and the typical value, checking whether there is an arrangement pattern that matches the arrangement pattern of the image data in the block before then if it cannot be reproduced, calculating position data indicating a matching position if there is the arrangement pattern before then, obtaining the arrangement pattern of the image data in the block as block data if there is not the arrangement pattern before then, and using the calculated or obtained typical value, position data or block data for generating compressed data.

Method and device for compressing image data

A method for compressing image data having pixels arranged like a matrix in a line direction and a sub scan direction orthogonal to the line direction is provided herein. The disclosed method allows for a reduction in memory capacity necessary for the expansion of the data. The method includes the steps of dividing the image data in the line direction and in the sub scan direction into blocks covering a plurality of lines, determining a representative value about density of pixels included in each of the blocks, determining additional information for each line in each of the blocks or for a plurality of lines whose number is smaller than the total number of lines of the block and creating compressed data by using the representative value and the additional information.

Method and device for compressing and expanding image data

A method for compressing image data includes a first step for dividing image data into predetermined areas and determining a representative value about density of pixels in each area, a second step for determining density of pixels included in each area by using the representative value of the area and an interpolation rule, a third step for determining reproducibility of an image obtained, on the basis of the density of pixels determined in the second step, by using the image data and a dither pattern that is used for a pseudo gradation process performed on the image data, and a fourth step for encoding, on the basis of the representative value determined in the first step, for areas that are determined to have a good reproducibility in the third step.

A print system includes a computer and a printer. Image data having pseudo gradation with a dither pattern are printed by the printer. The computer divides the image data into predetermined areas, determines whether or not a dot arrangement pattern of image data in each of the areas matches a dither pattern that was used for generating the pseudo gradation, determines a representative value concerning a density of image data within the area if they match one another, and sends data related to the determined representative value to the printer. The printer obtains a representative value of each area from compressed data received from the computer and compares the obtained representative value with the dither pattern so as to reproduce a dot pattern.

Print system and printer

A method for compressing image data that are processed by a pseudo gradation process using a dither pattern is provided. The method includes the steps of dividing the image data into predetermined areas, determining whether or not a dot arrangement pattern of the image data in each area matches the dither pattern that was used in the pseudo gradation process, determining a representative value concerning density of the image data in the area if the dot arrangement pattern matches the dither pattern, and making compressed data by using the determined representative value.

In a image processing apparatus executing an error diffusion process, normal error diffusion process is performed when an input pixel value is not '0'. When the input value is '0' (white pixel), &#x201c;0&#x201d; is automatically output, error memory of the pixel is reset, and calculation and distribution of the error are not performed. Accordingly, the speed of processing of the image processing apparatus can be improved. Further, by setting smaller the threshold value in error diffusion, the influence caused by resetting of the error memory and delay in generating a dot can be prevented.

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Takatsuki, Japan

Toshitsugu Yamamoto