USRE42747EExpiredUtility
Filtering control method for improving image quality of bi-linear interpolated image
Est. expiryOct 21, 2019(expired)· nominal 20-yr term from priority
G06T 3/4007H04N 19/80H04N 19/59G06T 5/20G06T 5/73
55
PatentIndex Score
0
Cited by
23
References
23
Claims
Abstract
The present invention relates to an interpolation method for enlarging a digital image or predicting a moving vector of a compressed image system as a sub-pixel unit when the image digitized through a CCD (Charge Coupled Device) camera ect. has a low resolution in a video phone or video conference or general digital video system, particularly the present invention can be adapted to a post processor of a compressed digital image in order to improve the image quality, and can be used for finding a moving vector of a moving picture compressed type, accordingly the present invention is capable of improving the image quality.
Claims
exact text as granted — not AI-modified1. A filtering control method for improving the image quality of a bi-linear interpolated image when recovering a high resolution image from a low resolution image, comprising:
restoring a requested high resolution image f by finding an added filter coefficient Q of a PSF(P) and a bi-linear interpolation filter B from an equation f=Pg=PBz=Qz, wherein f is the high resolution image as requested, P is the PSF (Point Spread Function), g is the high resolution image found by the bi-linear interpolation method, and z is the low resolution image; wherein the high resolution image f can be restored by performing an added function M(f) definition process for finding the PSF(H) from an equation g=Bz=Hf+n, wherein B, H are bilinear interpolation filters, and n is a noise component generated by the assumed H; and wherein the added function M(f) is defined as M(f)=∥g−Hf∥ 2 +α∥Cf∥ 2 , wherein α is a regularization parameter, and C is a two-dimensional high frequency filter for finding mitigation of the original image.
2. The filtering control method for improving the image quality of the bi-linear interpolated image according to claim 1 , wherein the regularization parameter α is fixed as ‘1’ in order to reduce a computational complexity.
3. The filtering control method for improving image quality of the b-linear interpolated image according to claim 1 , wherein a two-dimensional gaussian filter is used as the two-dimensional high frequency filer C in order to determine the mitigation of the original image.
4. A filtering control method for improving the image quality of a bi-linear interpolated image when recovering a high resolution image from a low resolution image, comprising:
restoring a requested high resolution image f by finding an added filter coefficient Q of a PSF(P) and a bi-linear interpolation filter B from an equation f=Pg=PBz=Qz, wherein f is the high resolution image as requested, P is the PSF (Point Spread Function), g is the high resolution image found by the bi-linear interpolation method, and z is the low resolution image; wherein the high resolution image f can be restored by performing an added function M(f) definition process for finding the PSF(H) from an equation g=Bz=Hf+n, wherein B, H are bi-linear interpolation filters, and n is a noise component generated by the assumed H; wherein the high resolution image f is restored by finding a PSF(P) of a f=Pg function after finding the PSF(H) from the added function M(f); and wherein the PSF(H) is found by using an equation
H
(
k
,
l
)
=
G
(
k
,
l
)
F
(
k
,
l
)
,
G(k,l) is the component in the k,l frequency region of the bi-linear interpolated image, and F(k,l) is the component in the k,l frequency region of the high resolution image.
5. A filtering control method for improving the image quality of a bi-linear interpolated image when recovering a high resolution image from a low resolution image, comprising:
restoring a requested high resolution image f by finding an added filter coefficient Q of a PSF(P) and a bi-linear interpolation filter B from an equation f=Pg=PBz=Qz, wherein f is the high resolution image as requested, P is the PSF (Point Spread Function), g is the high resolution image found by the bi-linear interpolation method, and z is the low resolution image; wherein the PSF(P) can be found by getting an IFT (Inverse Fourier Transform) by an equation
P
(
k
,
l
)
=
H
*
(
k
,
l
)
H
*
(
k
,
l
)
H
(
k
,
l
)
+
C
*
(
k
,
l
)
C
(
k
,
l
)
.
6. The filtering control method for improving the image quality of the bi-linear interpolated image according to claim 5 , wherein the number of a kernal of the PSF(P) is set in accordance with an up-sampling value of the image.
7. A filtering control method for improving the image quality of a bilinear interpolated image when recovering a high resolution image from a low resolution image, comprising:
defining an added function M(f) for finding a PSF(H) from an equation g=Bz=Hf+n (wherein B, H are bi-linear filters, n is a noise component generated by an assumed H when the H is a PSF (Point Spread Function), f is a requested high resolution image, z is a low resolution image, and g is a high resolution image gotten by the bi-linear interpolation method); finding a PSF(P) of a f=Pg function after finding the PSF(H) from the defined added function M(f); and restoring the requested high resolution image f by finding an added filter coefficient Q of the PSF(P) and interpolation filter B from the equation f=Pg=PBZ=Qz; wherein the added function M(f) is defined as M(f)=∥g−Hf∥ 2 +α∥Cf∥ 2 , wherein α is a regularization parameter, and C is a two-dimensional high frequency filter for finding the mitigation of the original image.
8. The filtering control method for improving the image quality a of the bi-linear interpolated image according to claim 7 , wherein the regularization parameter α is fixed as ‘1’ in order to reduce a computational complexity.
9. The filtering control method for improving image quality of the bi-linear interpolated image according to claim 7 , wherein a two-dimensional gaussian filter is used as the two-dimensional high frequency filter C in order to determine the mitigation of the original image.
10. A filtering control method for improving the image quality of a bilinear interpolated image when recovering a high resolution image from a low resolution image, comprising:
defining an added function M(f) for finding a PSF(H) from an equation g=Bz=Hf+n (wherein B, H are bi-linear filters, n is a noise component generated by an assumed H when the H is a PST (Point Spread Function), f is a requested high resolution image, z is a low resolution image, and g is a high resolution image gotten by the bi-linear interpolation method); finding a PSF(P) of a f=Pg function after finding the PSF(H) from the defined added function M(f); and restoring the requested high resolution image f by finding an added filter coefficient Q of the PSF(P) and interpolation filter B from the equation f=Pg=PBZ=Qz; wherein the PSF(H) is found by an equation
H
(
k
,
l
)
=
G
(
k
,
l
)
F
(
k
,
l
)
,
wherein G(k,l) is the component in the k,l frequency region of the bi-linear interpolated image, and F(k,l) is the component in the k,l frequency region of the high resolution image.
11. A filtering control method for improving the image quality of a bi-linear interpolated image when recovering a high resolution image from a low resolution image, comprising:
defining an added function M(f) for finding a PSF(H) from an equation g=Bz=Hf+n (wherein B, H are bi-linear filters, n is a noise component generated by an assumed H when the H is a PSF (Point Spread Function), f is a requested high resolution image, z is a low resolution image, and g is a high resolution image gotten by the bi-linear interpolation method); finding a PSF(P) of a f=Pg function after finding the PSF(H) from the defined added function M(f); and restoring the requested high resolution image f by finding an added filter coefficient Q of the PSF(P) and interpolation filter B from the equation f=Pg=PBZ=Qz; wherein the PSF(P) is found by using an IFT (Inverse Fourier Transform) by an equation
P
(
k
,
l
)
=
H
*
(
k
,
l
)
H
*
(
k
,
l
)
H
(
k
,
l
)
+
C
*
(
k
,
l
)
C
(
k
,
l
)
.
12. The filtering control method for improving the image quality of the bi-linear interpolated image according to claim 11 , wherein the number of a kernal of the PSF(P) is differently set in accordance with an up-sampling value of the image.
13. A method for generating pixel data, the method performed by at least one processor and the method comprising:
generating a set of interpolated pixel data from a set of original pixel data from an original image, wherein interpolated pixel data for a particular pixel is generated by performing operations comprising:
selecting original pixel data,
obtaining at least first and second filter coefficients, the first and second filter coefficients configured to interpolate the original pixel data, and the first filter coefficient comprising weighting factors having at least three at least three individual values;
applying the first filter coefficient to the selected original pixel data to produce first interpolated original pixel data, wherein applying the first filter coefficient to the selected original pixel data comprises:
multiplying each of the weighting factors and the selected original pixel data to produce weighted pixel data;
summing the weighted pixel data to produce the first interpolated pixel data; and
applying the second filter coefficient to the first interpolated original pixel data to produce second interpolated pixel data; and
generating the pixel data by performing a bit operation on the second interpolated pixel data.
14. The method of claim 13, wherein the second filter coefficient is a matrix including one or more individual numeric values.
15. The method of claim 14, wherein the first filter coefficient is a point spread function (P) and the second filter coefficient is a bi-linear interpolation filter (B).
16. The method of claim 13, wherein:
the first filter coefficient includes at least three different coefficient values, and generating the interpolated pixel data comprises dividing second interpolated pixel data by a sum of the at least three different coefficient values.
17. The method of claim 13, wherein the first filter coefficient and the second filter coefficient comprise at least one integer value.
18. The method of claim 13, wherein the first filter coefficient and the second filter coefficient are one.
19. The method of claim 13, wherein the second filter coefficient is one.
20. The method of claim 13, wherein the bit operation comprises a bit shift operation.
21. The method of claim 13, wherein the original image is obtained from a low-resolution imaging system.
22. The method of claim 13, wherein the original image is obtained from video data configured to represent motion.
23. A digital video system comprising:
a low-resolution imaging system configured to capture an original image; and a processor configured to generate an interpolated image from the original image and to obtain interpolated pixel data for the interpolated image from original pixel data from the original image, wherein the interpolated pixel data for a particular pixel of the interpolated image is generated by performing operations comprising:
selecting original pixel data for the interpolated image,
obtaining at least first and second filter coefficients, the first and second filter coefficients configured to interpolate the original pixel data, and the first filter coefficient comprising weighting factors having at least three at least three individual values,
applying the first filter coefficient to the selected original pixel data to produce first interpolated original pixel data, wherein applying the first filter coefficient to the selected original pixel data comprises:
multiplying each of the weighting factors and the selected original pixel data to produce weighted pixel data;
summing the weighted pixel data to produce the first interpolated pixel data;
applying the second filter coefficient to the first interpolated original pixel data to produce second interpolated pixel data, and
generating the interpolated image by performing a bit operation to the second interpolated pixel data.Join the waitlist — get patent alerts
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