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Bayer domain image interpolation method, device, image processing chip and storage device

An interpolation method, interpolation technique

Active Publication Date: 2019-11-01
APPOTECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since only the second-order gradient value in one direction is used as a correction factor, the false color effect is still present during interpolation, resulting in image distortion and poor image quality.

Method used

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  • Bayer domain image interpolation method, device, image processing chip and storage device
  • Bayer domain image interpolation method, device, image processing chip and storage device
  • Bayer domain image interpolation method, device, image processing chip and storage device

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Experimental program
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Embodiment 1

[0048] figure 2 Shows the implementation process of the Bayer domain image interpolation method provided in the first embodiment of the present invention. In the method, the specific steps of interpolating the coordinate point (m, n) in the image on the G channel include steps S1 to S3, the detailed description will be given below.

[0049] Step S1, step of calculating the second step value: calculating the second step value ver_diff of the coordinate point (m, n) in the vertical direction and the second step value hor_diff of the horizontal direction respectively.

[0050] Such as image 3 As shown, BR represents a pixel with a color of blue or red, and G represents a pixel with a green color. The chromaticity value of the coordinate point (m, n) is represented by I(m, n), and the calculation formula of the ver_diff of the vertical direction of the coordinate point (m, n) is as follows:

[0051] ver_diff=|2*I(m,n)-I(m,n+2)-I(m,n-2)|+|I(m,n+1)-I(m,n-1)| .

[0052] The calculation f...

Embodiment 2

[0064] Figure 4 The Bayer domain image interpolation device provided in the second embodiment of the present invention is shown. The device includes a two-step gradient value calculation module 21, an interpolation component calculation module 22, and an interpolation calculation module 23. This will be described in detail below.

[0065] The second step value calculation module 21 is used to calculate the second step value ver_diff in the vertical direction and the second step value hor_diff in the horizontal direction of the coordinate point (m, n) in the image.

[0066] The chromaticity value of the coordinate point (m, n) is represented by I(m, n), and the second step value calculation module 21 uses the following formula to calculate the second step value of the coordinate point (m, n) in the vertical direction ver_diff:

[0067] ver_diff=|2*I(m,n)-I(m,n+2)-I(m,n-2)|+|I(m,n+1)-I(m,n-1)| .

[0068] The second step value calculation module 21 uses the following formula to calcul...

Embodiment 3

[0079] Such as Figure 5 As shown, in the third embodiment of the present invention, an image processing chip is provided, which includes at least one processor 310, a memory 320, and an interface 330, and the at least one processor 310, the memory 320, and the interface 330 are all connected by a bus;

[0080] The memory 320 stores computer execution instructions;

[0081] The at least one processor 310 executes the computer-executable instructions stored in the memory 320, so that the image processing chip executes the image interpolation method described in the first embodiment.

[0082] Further, an embodiment of the present invention also provides a storage device, the storage device stores an instruction, and the instruction is executed by a processor to implement the steps of the image interpolation method described in the first embodiment.

[0083] In summary, when the above-mentioned image interpolation method, device, image processing chip and storage device are used to perfo...

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Abstract

The present invention provides a Bayer domain image interpolation method, device, image processing chip and storage device. In the method, the specific steps of interpolating the coordinate points (m, n) in the image in the G channel include: two Calculation steps of first-order gradient value: respectively calculate the second-order gradient value of the coordinate point (m, n) in the vertical direction and the second-order gradient value of the horizontal direction, where the chromaticity value of the coordinate point (m, n) is used to represent; interpolation Component calculation step: calculate the interpolation component gv in the vertical direction and the interpolation component gh in the horizontal direction of the coordinate point (m, n) in the G channel respectively; interpolation calculation step: calculate the interpolation g of the G channel of the coordinate point (m, n) . By adopting the technical scheme of the invention, the effect of image interpolation can be improved.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a Bayer domain image interpolation method, device, image processing chip and storage device. Background technique [0002] Digital cameras involve the fields of optics, mechanics, and electronics. The light entering through the camera lens is converted into a processable digital signal under the action of the imaging element, and then stored in the storage device under the action of the image computing chip. A general digital camera is composed of optical lens, imaging chip, image processing part, image memory, display and other components. Among these components, the image sensor is the core structure of the imaging component of a digital camera. The most commonly used are CCD (Charge-Coupled Device) and CMOS (Complementary Metal Oxide Semiconductor). At the same time, the image processing software module in the digital camera can improve the removal of noise c...

Claims

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Application Information

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IPC IPC(8): H04N9/64H04N9/04G06T3/40G06T5/00
CPCH04N9/643H04N9/646G06T3/4015H04N23/10G06T5/70
Inventor 旷开智
Owner APPOTECH
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