Image processing apparatus and computer program product

An image processing device and image technology, applied in image communication, electrical components, etc.

Inactive Publication Date: 2009-04-08
RICOH KK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the case of electronic photographs it is not desirable to use so many small dots with poor reproducibility

Method used

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  • Image processing apparatus and computer program product
  • Image processing apparatus and computer program product
  • Image processing apparatus and computer program product

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] FIG. 1 shows the structure of an image input and output system 10 composed of an image processing device of the present invention. FIG. 2 shows the structure of the image recording apparatus 3 to which the present invention is applied. FIG. 5 shows the configuration of an image processing apparatus of Embodiment 1 of the present invention. In FIG. 1 , an image input device 1 shows an input device such as a scanner or a digital camera, and an input image is read as image data of 256 gradations with 8-bit precision, for example. This multilevel image data is input to the image processing apparatus 2 of the present invention.

[0055] In the image processing device 2 , the image data of 256 gray scales input from the image input device 1 is converted into gray scales outputtable by the subsequent image recording device (image output device) 3 . In this gradation conversion process, multi-level error diffusion and multi-level average error minimization methods can also be...

Embodiment 2

[0112] FIG. 7 shows the structure of an image processing apparatus of Embodiment 2 of the present invention.

[0113] The input terminal 201 is input with multilevel image data from the image input device 1 . Therefore, in order to represent two-dimensional image data, it is expressed as In(x, y) (x represents an address in the main scanning direction of the image, and y represents an address in the sub scanning direction).

[0114] Then, this input data In(x, y) is input to the adder 202 and the variable threshold setting section 208 . The adder 202 adds the input data In(x, y) and the error component E(x, y) input from the error memory 206, calculates the corrected data C(x, y), and outputs the corrected data C(x, y) to the comparison judgment section 203 and the subtractor 205 .

[0115] Also, input data In(x, y) is input to the variable threshold setting section 208 . In the variable threshold setting section 208, corresponding to Figure 8 Shown input data In (x, y) t...

Embodiment 3

[0138] Figure 9 The structure of the image processing apparatus of Embodiment 3 of the present invention is shown.

[0139] The input terminal 301 is input with multilevel image data from the image input device 1 . Then, the input data In(x, y) is input to the adder 302 . The adder 302 adds the input data In(x, y) and the error component E(x, y) input from the error memory 306, calculates the corrected data C(x, y), and outputs the corrected data C(x, y) to the comparison judgment section 303 and the subtractor 305 .

[0140] The comparison judgment section 303 determines the output value Out(x, y) according to the formula (1) based on the correction data C(x, y) input from the adder 302 and the threshold group T(x, y) input from the threshold setting section 308. ), this Out(x, y) is output from the output terminal 304 to the image recording device 3 .

[0141] Also, the output value Out(x, y) is input to the quantization memory 309 and the subtractor 305 . The subtract...

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Abstract

The present patent provides an image processing apparatus, and an image recording apparatus, program and recording medium. The image processing apparatus quantizes multi-level image data of M gray levels into N-level image data (M>N>2) by using one of a multi-level error diffusion method to form an image by using a dot corresponding to each pixel included in the N-level image data, and includes various image processing units to obtain a correction value based on error values of neighboring pixels a target pixel, store quantized states of the neighboring pixels to set a threshold, compare the threshold with the correction value to determine the N-level image data, weight and diffuse an error generated with the N-level image data to the neighboring pixels of the target pixel. The image processing apparatus also includes an N-level processing unit to execute N-level processing and a binary processing unit configured to execute binary processing according to a dot type, and uses a weight matrix.

Description

technical field [0001] The present invention relates to an image processing device, an image recording device (image forming device), a program, and a recording medium for performing print processing on multi-level image data with high definition and high gradation. Background technique [0002] There are image input-output systems that output multilevel image data read by input devices such as scanners and digital cameras to output devices such as printers and displays. In this case, there is pseudo intermediate grayscale processing as a method of expressing continuous grayscale in analogy, which converts image data of multiple levels (for example, 256 grayscales in the case of 8-bit precision) read from an input device into an output The grayscale image data that the device can output. [0003] However, in the case where the output device can only display / remove binary values ​​of dots, the binarization process is performed in the conventional manner. There are an error ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N1/405
Inventor 小川武士
Owner RICOH KK
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