Fuji Xerox Co., Ltd.

Kazuyasu Sasuga

Hiroshi Sekine

Yoshihiro Terada

Kazuman Taniuchi

Katuyuki Kouno

Masahiro Ishiwata

Akira Ishii

Yoshiharu Hibi

Hideki Moriya

Kenji Ogi

Masao Seki

Kenichi Yamaguchi

Shinjiro Toyoda

Yasuhiko Iwamoto

Yukiharu Inoue

Kiyomasa Endoh

Masato Toho

Hiroaki Ishizawa

Akihiko Fusatani

Hisao Suzuki

Masa Seki

Multi-value character (line image) data, characteristic information and half-tone data are stored while the memory is effectively used. Half-tone data is outputted from the attribute separating section 20. Vector pixels or the density data of 5 bits and the characteristic flag of 3 bits are outputted from the resolution converting section 12 and the edge detecting section 13. After a discriminating flag (1 bit) has been added to them by the data mixing section 21, they are formatted in a predetermined manner and stored in the memory M. In this case, both halftone data and vector pixels are stored as raster data of 9 bits. Further, the characteristic flag is stored as a portion of the vector pixels. Accordingly, the memory M is not wasted, and it is not necessary to separately provide a memory exclusively used for the characteristic flag.

Image processing apparatus and image forming apparatus

A multi-color marker editing system for editing a color image by reading a designated marker. The multi-color marker editing system includes an image reading unit for reading color image data, a color-coordinate converting unit for converting the read image data into color data in a color coordinate system defined by optical density, hue and saturation, a color detecting unit for detecting a designated marker color from the read color image data, an image density converting unit for converting a density of the detected marker color image data, and a marker editing unit for making a marker color editing for each color to the density-converted marker color image data.

Multi-color marker editing system

A texture image processing system for image processing apparatus comprises, first calculator for calculating a maximum value and a minimum value of texture image data; second calculator for calculating an average value and a gain value with employment of said maximum value and minimum value; and synthesizing processor for synthesizing texture image data by image picture data, this synthesizing processor synthesizing the texture image data with the image picture data by multiplying a difference between the texture image data and the average value by the gain value. Also, synthesizing processor synthesizes the texture image data with chromaticity information of the image picture data, or chromaticity information of the image picture data with predetermined chromaticity information, chromaticity information of the texture image data. With the above-described structures, both of hue and saturation in the image picture data are maintained, and also the synthesized texture image having no great brightness change over its entire region is obtained.

Image processing apparatus for combining image data and texture image

An image processing system assigns weight factors to two respective image signals of the equivalent color space so that the two image signals are combined according to the respective weight factors. For example, two weight factors having a sum of unity are assigned to the respective image signals. Alternatively, two weight factors are assigned independently.

Image combining in image processing apparatus

A gray balance control system for reproducing original images. An optical signal is separated into a plurality of separated color signals, gray balance conversion data for each of the colors of the separated color signals is stored in a memory circuit, and an equivalent neutral density conversion is performed on the plurality of separated color signals by converting the color signals to gray balanced color signals in accordance with the gray balance conversion data. Finally, the gray balanced color signals are converted into print signals for coloring materials.

Gray balance control system

A halftone image generating apparatus for use in a halftone image generating system for generating threshold value data corresponding to positions in a main scanning direction and a subsidiary scanning direction, comprising a threshold value data generating circuit for generating the threshold value data in a matrix pattern having a variable number of lines and rows, and for converting input picture image data having chromatic gradations into binary value data by comparing the input picture image data to the threshold value data, and a circuit for forming a scanning mesh dot image corresponding to the input picture image data.

Halftone image generating apparatus

A digital image processing apparatus which receives color-separation signals of a picture represented in terms of gradation and converts the color-separation signals into binary signals of on and off, comprises a toner signal conversion and adjustment means for adjusting the density of a plurality of the color-separation signals to produce a plurality of gradation toner signals representing a density of or an amount of toner of process colors, producing india ink, and extracting gradation toner signals of development process color; a process toner signal processing means for applying processes for Moire prevention and edge emphasis to the gradiation toner signals to convert into binary toner signal of on and off; a region picture control means for producing control information for each of a plurality of regions to control the toner signals conversion and adjustment means and the process toner signal processing means; and an edit control means having a plurality of edit regions and edit information for controlling the graduation toner signals in the edit regions in accordance with the edit information.

Digital image processing apparatus

The image processing method and related apparatus of the present invention contemplates the steps of setting a two-dimensional image filter to center around a subject picture element switching the coefficient of the two-dimensional image filter on a time-sharing basis during the time an image signal corresponding to one picture element is transferred, taking out a plurality of filter outputs relative to the image signal of the subject picture element, comparing the plurality of filter outputs with each other to identify which one of the character and half tone areas the subject picture element belongs to, and subjecting the image to individual process on an area basis. Accordingly, it is possible to distinguish between the character and half tone areas efficiently with a simple arrangement and simultaneously output an image of good quality.

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Kanagawa, Japan

Kazuyasu Sasuga