Canon Kabushiki Kaisha

Rie Kajihara

Mitsuhiro Ono

Akitoshi Yamada

Fumitaka Goto

Tomokazu Ishikawa

Okinori Tsuchiya

Akihiko Nakatani

Fumihiro Goto

Takashi Fujita

Ayumi Sano

Shigeyasu Nagoshi

Hitoshi Nishikori

Norihiro Kawatoko

Yuji Konno

Yutaka Kano

Minako Kato

Makoto Torigoe

Naoki Sumi

Takashi Nakamura

An apparatus includes at least one processor configured to function as a dividing unit configured to divide at least part of an image, which is obtained by reading an original using a scanning device, into a plurality of processing blocks, a determination unit configured to determine an attribute value that specifies a processing content of one or more pixels in each processing block, of the plurality of processing blocks, divided by the dividing unit, in accordance with a coordinate in the original to which each processing block, of the plurality of processing blocks, corresponds, and an image processing unit configured to execute an image process to correct an input pixel value of a pixel in image data that represents the image and to output the corrected pixel value of the pixel, based on the attribute value determined by the determination unit.

Image processing apparatus having a determination unit that determines an attribute value which specifies processing content of one or more pixels

An image processing device includes a first and a second image processing module including an image processing unit, and a connection module that is connected to the first and second image processing modules, and moves an image data from one image processing module to the other image processing module. At least one of the image processing modules includes a weighted average processing unit that calculates, based on a weighting coefficient included in an attribute value, a weighted average of a pixel value of the input image data and a image processed pixel value, and an output unit which outputs at least one of the image processed pixel value and the weighted-averaged pixel value.

Image processing apparatus, and image processing device which processes image data in correspondence with one or more pixels of an image

Image processing device and image processing apparatus

An image processing apparatus comprising: a generation unit configured to determine characteristic information associated with image data which expresses an image, to generate an attribute value based on the determination result, and to set the attribute value in an attribute value field included in the image data; and an image processing device configured to apply an image process to a pixel value set in a pixel value field included in the image data, based on the attribute value set in the attribute value field.

Image processing based on a pixel value in image data

Image processing device and image processing apparatus which process image data in correspondence with one or more image pixels of an image

In image processing, it is possible to suppress density fluctuation and keep graininess low as well as obtain a good balance of the processing load. More specifically, when dividing multi-valued data and generating two-pass multi-pass printing data, divided multi-valued data that is common to the two passes is generated in addition to the divided multi-valued data for each of the two passes. Moreover, quantized data of that common multi-valued data is reflected on the quantized data for each pass. Furthermore, when generating quantized data, a process of generating common data by the aforementioned data division, or a process of performing quantization first without dividing the multi-valued data and then dividing the quantized 2-pass data is selectively performed according to the printing position on printing medium.

Image processing apparatus and image processing method

An image processing device processes image data, which expresses an image and is edited to image data including, in correspondence with each pixel of the image, a pixel value field that holds a pixel value of the pixel and an attribute value field that holds an attribute value. The image processing device includes a first and a second image processing module, and a connection module that is connected to the first and second image processing modules, and moves the image data from one image processing module to the other image processing module. At least one of the image processing modules has a first function to output an image processing result for a pixel value of the input image data as an output pixel value, and a second function to output an image processing result for a pixel value of the input image data as an output attribute value.

Image processing for processing image data in correspondence with each pixel of an image

Image processing in correspondence with each pixel of an image

Multi-valued image data corresponding to a pixel area is divided into the first scanning multi-valued data, first and second scanning common multi-valued data, and second scanning multi-valued data. A quantization processing is executed on each of the multi-valued data to generate first scanning quantized data, first and second scanning common quantized data, and second scanning quantized data. After that, these pieces of quantized data are combined for each scanning to generate first scanning combined quantized data and second scanning combined quantized data. According to this, the amount of pixels where dots are both recorded by performing a scanning by plural times (the amount of overlapping dots) is controlled, and while suppressing the image density variations, the granularity is held to a low level.

Image processing apparatus for processing multi-values image data corresponding to a predetermined area of a recording medium

An image processing device processes image data, which is edited to image data including, in correspondence with each pixel of an object included in the image, a pixel value field that holds a pixel value of the pixel and an attribute value field that holds an attribute value. The image processing device includes a generation unit which includes a table that holds characteristic data and an address of the characteristics data, generates an attribute value based on information of a position of a pixel in the image and the table, sets the attribute value in the attribute value field, an image processing unit which applies an image process to a pixel value set in the pixel value field based on the set attribute value, and a connection module moves the image data from the generation unit to the image processing unit.

Image processing based on pixel and attribute values

Provided is an image processor and image processing method that are capable of suppressing both density unevenness and graininess that occur due to deviation of the printing position of dots that are printed by a plurality of relative movements (or a plurality of printing element groups). In order to accomplish this, the dot overlap rate of an image characteristic in which density unevenness stands out is made higher than the dot overlap rate of an image characteristic in which other defects stand out more than the density unevenness. By doing so, it is possible to suitably adjust the dot overlap rate according to an image characteristic, and to output an image having no density unevenness or graininess.

Image processor and image processing method generating first and second multi-value density data or performing quantization based on an image characteristic

An image processing apparatus and an image processing method are provided which, when forming an image using a plurality of different inks, can produce a satisfactory image free from problematical levels of density unevenness, graininess and insufficient density with any of these inks. To this end, when printing on pixel areas of a print medium by a plurality of relative movements between the printing unit and the print medium, the dot overlap rate of an ink that tends to show density unevenness is set higher than that of an ink that tends to show other image impairments more conspicuously than the density unevenness. This results in a good image that eliminates such image impairments as density unevenness, graininess and density insufficiency in the entire color gamut.

The present invention suppresses data processing load and processing time when generating density data for the same color that corresponds to a plurality of printing scans (or plurality of printing element groups) of a printing head and printing medium. In order to accomplish this, input image data is converted to a plurality of density data by referencing a three-dimensional lookup table that performs one-to-one correlation of input image data with a plurality of density data that corresponds to a plurality of relative movements (or plurality of printing element groups). By doing so, it is possible to perform a process of generating density data (CMYK) that corresponds to a plurality of relative movements (or plurality of printing element groups) from input image data at once, and thus it is possible to suppress an increase in data processing load and processing time.

When the number (M) of passes is smaller than a threshold value, a first processing mode is selected. In the first processing mode, multivalued image data is divided into pieces of multivalued data corresponding to passes and a common multivalued data for a plurality of passes, the pieces of multivalued data are individually binarized to generate pieces of binary data corresponding to the passes, and the common multivalued data is binarized to generate common binary data for these passes. On the other hand, when the number (M) of passes is equal to or larger than the threshold value, a second processing mode is selected. In the second processing mode, multivalued image data is binarized and the binary data is divided into pieces of binary data corresponding to passes with a mask.

Image processing apparatus and image processing method for processing multivalued image data and recording an image in a pixel area on recording medium by a plurality of relative scans of recording head and recording medium

Inputted image data is converted to M number of multi-value data having a lower resolution than the inputted image data, and after quantization processing has been performed for each of the M number of multi-value data, an image is printed by M number of relative movements (M-pass printing) that corresponds to the M number of quantized data. By doing so, when compared with the case in which a resolution reduction process is not performed, it is possible to suppress the number of pixels that become the object of quantization processing, and it becomes possible to output an image with no fluctuation in image density or density unevenness without a decrease in the processing speed.

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Minoo, Japan

Rie Kajihara