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Image processing device and image processing method

An image processing device and image processing technology, applied in image data processing, image data processing, image enhancement, etc., can solve the problems of output pixel position and input pixel position deviation, high manufacturing cost, high price of SRAM, etc.

Inactive Publication Date: 2018-08-03
KK TOSHIBA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the deformation of the image is large, the output pixel position and the input pixel position have a large deviation
Therefore, it is necessary to prepare a large number of line buffers (line buffer) to hold input pixels, resulting in an increase in size of the device
In addition, generally, the line buffer is composed of SRAM, and since SRAM is expensive, there is a problem that the manufacturing cost becomes high.

Method used

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  • Image processing device and image processing method
  • Image processing device and image processing method
  • Image processing device and image processing method

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Experimental program
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no. 1 approach

[0016] figure 1 It is a schematic block diagram of the image processing device according to the first embodiment of the present invention. The image processing device performs electrical processing on an image of a subject captured by an imaging device (not shown) such as a camera (hereinafter referred to as an input image), and corrects distortion caused by an optical system such as lens distortion.

[0017] The image processing device 1 mainly includes a line buffer 11 , a write pixel position calculation unit 12 , a read pixel position calculation unit 13 , a write pixel position determination unit 14 , a parameter storage unit 15 and a pixel interpolation unit 16 .

[0018] The line buffer 11 holds the pixels (input pixels) of the input image read in raster scan order from the imaging device for the number of lines required for correction processing. For example, when correction of distortion aberration is performed by bilinear interpolation (bilinear interpolation), pixe...

no. 2 approach

[0098] In the image processing device of the first embodiment, correction of lens distortion and correction of a monochromatic input image are performed. On the other hand, the second embodiment is different in that the chromatic aberration of magnification is corrected for the three-channel color image of R, B, and G. The image processing device of the second embodiment has the same configuration as that of the first embodiment. Hereinafter, an image correction processing method will be described. In addition, the same code|symbol is attached|subjected to the same component and the same process, and description is abbreviate|omitted.

[0099] image 3 It is a flowchart illustrating image correction processing in the second embodiment. For each color pixel of G, B, R, the input pixel is expanded into the line buffer 11 (S1). First, a set of readout pixel positions related to the correction target input pixel Pi_g(vo_g, ho_g) of the G pixel is calculated. With respect to t...

no. 3 approach

[0107] In the image processing device according to the first embodiment, lens distortion is corrected on an input image, and an image after the distortion is corrected is output. On the other hand, the third embodiment is different in that pyramid processing is also performed at the time of distortion correction processing, and a pyramid image (set of the same image with different resolutions) is also generated.

[0108] Figure 4 It is a schematic block diagram of the image processing device of the third embodiment. In addition, the same reference numerals are assigned to the same constituent elements as those of the image processing device of the first embodiment, and description thereof will be omitted.

[0109] The written pixel position scale unit 12a calculates a written pixel area estimated to include pixels interpolated by the read pixel Pi to be corrected and subjected to pyramid processing by multiplying by a predetermined scale. pixels after. Specifically, for th...

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Abstract

An image processing device provided by an embodiment, to which multiple inputted pixels forming an inputted image are inputted in a raster scan order, includes a written pixel position calculating part (12) configured to convert the position of each of the inputted pixels to a first pixel position in an outputted image, a read-out pixel position calculating part (13) configured to convert the position of an outputted pixel near the first pixel position in the outputted image to a second pixel position in the inputted image, and a pixel interpolating part (16) configured to calculate the pixelvalue of the second pixel position through interpolation with surrounding pixels in the inputted image.

Description

[0001] This application claims priority based on Japanese Patent Application No. 2017-12870 (filing date: January 27, 2017) and Japanese Patent Application No. 2017-167619 (filing date: August 31, 2017). This application incorporates the entire content of the basic application by referring to these basic applications. technical field [0002] This embodiment relates to an image processing device and an image processing method. Background technique [0003] Generally, an image captured by an imaging device such as a digital camera is affected by distortion aberration and lateral chromatic aberration of an optical system such as an imaging lens. In order to suppress the distortion aberration, the material of the lens is devised or an aspherical lens is used, but there is a problem that the cost of design and manufacture increases. In addition, in order to suppress lateral chromatic aberration, a large number of lens groups made of materials with different refractive indices a...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06T5/00
CPCG06T1/0007G06T5/80G06T2207/10024H04N23/88G06T3/4007
Inventor 羽田隆二增田笃司
Owner KK TOSHIBA