IP Library › Granted Patent US 11,849,250
Granted Patent B2
US 11,849,250 · App. 17/938,107 · Granted Dec 19, 2023

Signal processing device and video display device comprising same

Inventors: Saem Park (Seoul, KR); Seokpan Kang (Seoul, KR); Yongtaek Gong (Seoul, KR); Sangchurl Nam (Seoul, KR); Yeonoh Nam (Seoul, KR); Jeonghyu Yang (Seoul, KR); Kyungmee Lee (Seoul, KR); Myongyoung Lee (Seoul, KR); Seoksoo Lee (Seoul, KR); Wonwoo Lee (Seoul, KR); Seungjong Choi (Seoul, KR); Jongwoo Ha (Seoul, KR)
Assignee: LG ELECTRONICS INC.
H04N7/0132G06N3/08G06T7/0002H04N7/0117H04N21/647G06T2207/10016G06T2207/30168
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Quick Facts
Patent No.
US 11,849,250
App. No.
17/938,107
Granted
Dec 19, 2023
Kind
B2
Abstract

Disclosed are a signal processing device and an image display apparatus including the same. The signal processing device of an embodiment of the present disclosure includes: a quality calculator configured to calculate a source quality of an image signal received from an external settop box or a network; an image quality setter configured to set an image quality of the image signal based on the calculated source quality; and an image quality processor configured to perform image quality processing on the image signal based on the set image quality, wherein in response to the source quality of the received image signal being changed at a first time point, the image quality setter changes an image quality setting sequentially from a first setting to a second setting; and based on the image quality setting, the image quality processor performs image quality processing. Accordingly, flicker may be reduced when an image quality is changed due to a change in the source quality of the received image signal.

Claims (58)

1. A signal processing device comprising:

a quality calculator configured to calculate a source quality of an image signal received from an external settop box or a network and transmit the calculated source quality of the image signal,

wherein the calculated source quality of the image signal includes a calculated resolution and a calculated compression level of the image signal;

an image quality setter configured to set an image quality of the image signal based on the calculated source quality; and

an image quality processor configured to

increase an enhancement intensity of the image signal, based on the calculated compression level decreasing or based on the calculated resolution of the image signal increasing.

2. The signal processing device of claim 1 , wherein the image quality setter is further configured to:

change, during image playback, the set image quality from a first image quality setting to a second image quality setting, in response to the source quality of the received image signal being changed at a first time point.

3. The signal processing device of claim 1 , wherein the image quality setter is further configured to:

change, while the image signal is received from the settop box, the set image quality from a first image quality setting to a second image quality setting in response to the source quality of the received image signal being changed at a first time point by a channel change or an input change.

4. The signal processing device of claim 1 , wherein the quality calculator is further configured to calculate a noise level of the received image signal.

5. The signal processing device of claim 4 , wherein the quality calculator is further configured to:

extract a first region and a second region from the image signal;

calculate the resolution of the image signal based on the first region; and

calculate the noise level of the image signal based on the second region.

6. The signal processing device of claim 5 , wherein the quality calculator is further configured to:

extract a region, having most edge components in the image signal, as the first region; and

extract a region having fewest edge components in the image signal, as the second region.

7. The signal processing device of claim 4 , wherein the quality calculator is further configured to increase a noise reduction intensity of the image signal as the calculated noise level increases.

8. The signal processing device of claim 1 , wherein the quality calculator is further configured to calculate the resolution and a noise level of the received image signal using a Deep Neural Network (DNN).

9. The signal processing device of claim 1 , wherein the quality calculator is further configured to:

update a parameter for a Deep Neural Network (DNN) received from a server; and

calculate the resolution and the compression level of the received image signal based on the updated parameter.

10. The signal processing device of claim 1 , wherein the quality calculator is further configured to:

calculate the compression level based on training data obtained by reducing a compression bit rate.

11. The signal processing device of claim 1 , the image quality processor is further configured to:

decrease an enhancement intensity of the image signal as the calculated compression level increases.

12. The signal processing device of claim 1 , the image quality processor is further configured to:

decrease an enhancement intensity of the image signal as the resolution of the image signal decreases.

13. The signal processing device of claim 1 , the image quality processor is further configured to:

increase a blurring intensity of the image signal as the calculated compression level increases.

14. The signal processing device of claim 1 , the image quality processor is further configured to:

decrease a size of a filter for filtering the image signal as the resolution of the image signal increases.

15. The signal processing device of claim 1 , wherein the image quality processor is further configured to:

downscale the image signal based on the resolution of the image signal;

perform image quality processing on the downscaled image signal;

upscale the image signal on which the image quality processing is performed; and

outputs the upscaled image signal.

16. An image display apparatus comprising:

an image receiver configured to receive an image signal from an external settop box or a network;

a display: and

a processor configured to:

receive the image signal from the image receiver; and

calculate a source quality of the image signal and transmit the calculated source quality of the image signal, wherein the calculated source quality of the image signal includes a calculated

resolution and a calculated compression level of the received image signal;

set an image quality of the image signal based on the calculated source quality;

increase an enhancement intensity of the image signal, based on the calculated compression level decreasing or based on the calculated resolution of the image signal increasing; and

cause the display to display an image based on the image signal.

17. The image display apparatus of claim 16 , wherein the processor is further configured to:

cause the display to display:

a first object indicating the calculated source quality of the received image signal; and

a second object indicating the set image quality.

18. The image display apparatus of claim 17 , wherein the processor is further configured to:

cause the display to display the first object and the second object for a defined period of time, in response to the source quality of the received image signal being changed.

19. The image display apparatus of claim 16 , wherein the processor is further configured to:

change, while the image signal is received from the settop box, the set image quality from a first image quality setting to a second image quality setting in response to the source quality of the received image signal being changed at a first time point by a channel change or an input change.

20. The image display apparatus of claim 16 , wherein the processor is further configured to:

calculate a noise level of the received image signal using a Deep Neural Network (DNN).

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 5, 2022
From: PARK, SAEM; LEE, KYUNGMEE; LEE, SEOKSOO; YANG, JEONGHYU; GONG, YONGTAEK; LEE, MYONGYOUNG; NAM, SANGCHURL; LEE, WONWOO; NAM, YEONOH; HA, JONGWOO; CHOI, SEUNGJONG; KANG, SEOKPAN
To: LG ELECTRONICS INC.
Reel/Frame 061319/0023 →
Priority Claims (1)
KR 10-2018-0126634 · Oct 23, 2018 · national
Continuity (2)
Continuation 17287731
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