Signal processing device and video display device comprising same
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 an 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.
1. A signal processing device comprising:
a quality calculator configured to calculate an 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 processor performs image quality processing based on a change from a first image quality setting before the first time point to a second image quality setting after the first time point,
wherein the quality calculator calculates a resolution and a noise level of the received image signal by using a Deep Neural Network (DNN).
2. The signal processing device of claim 1 , wherein during image playback, in response to the source quality of the received image signal being changed at the first time point, the image quality setter changes the image quality setting from the first image quality setting to the second image quality setting.
3. The signal processing device of claim 1 , wherein while the image signal is received from the settop box, in response to the source quality of the received image signal being changed at the first time point by a channel change or an input change, the image quality setter changes the image quality setting from the first image quality setting to the second image quality setting.
4. The signal processing device of claim 1 , wherein the quality calculator updates a parameter for the Deep Neural Network (DNN) from a server, and calculates the resolution and the noise level of the received image signal based on the updated parameter.
5. The signal processing device of claim 1 , wherein the quality calculator:
extracts a first region and a second region from the image signal;
calculates the resolution of the image signal based on the first region; and
calculates the noise level of the image signal based on the second region.
6. The signal processing device of claim 5 , wherein the quality calculator:
extracts a region, having the most edge components in the image signal, as the first region; and
extracts a region having the least edge components in the image signal, as the second region.
7. The signal processing device of claim 1 , wherein as the calculated noise level increases, the image quality processor increases a noise reduction intensity of the image signal.
8. The signal processing device of claim 1 , wherein the quality calculator calculates the resolution, the noise level, and a compression level of the received image signal, and calculates the compression level based on training data obtained by reducing a compression bit rate.
9. The signal processing device of claim 8 , wherein as the calculated compression level increases, the image quality processor decreases an enhancement intensity of the image signal.
10. The signal processing device of claim 1 , wherein as the resolution of the image signal increases, the image quality processor increases an enhancement intensity of the image signal.
11. The signal processing device of claim 8 , wherein as the calculated compression level increases, the image quality processor increases a blurring intensity of the image signal.
12. The signal processing device of claim 1 , wherein as the resolution of the image signal increases, the image quality processor reduces a size of a filter for filtering the image signal.
13. The signal processing device of claim 1 , wherein the image quality processor downscales the image signal based on the resolution of the image signal, performs image quality processing on the downscaled image signal, upscales the image signal on which the image quality processing is performed, and outputs the upscaled image signal.
14. A signal processing device comprising:
a quality calculator configured to calculate an 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 processor performs image quality processing based on a change from a first image quality setting before the first time point to a second image quality setting after the first time point, and
wherein the quality calculator updates a parameter for a Deep Neural Network (DNN) from a server, and calculates a resolution and a noise level of the received image signal based on the updated parameter.
15. An image display apparatus comprising:
an image receiver configured to receive an image signal from an external settop box or a network;
a signal processor configured to perform signal processing on the image signal received by the image receiver; and
a display configured to display an image processed by the signal processor,
wherein the signal processor comprises:
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 processor performs image quality processing based on a change from a first image quality setting before the first time point to a second image quality setting after the first time point,
wherein the quality calculator calculates a resolution and a noise level of the received image signal by using a Deep Neural Network (DNN).
16. The image display apparatus of claim 15 , wherein the display displays:
a first object indicating a calculated source quality of the received image signal; and
a second object indicating an image quality set based on the source quality.
17. The image display apparatus of claim 16 , wherein in response to the source quality of the received image signal being changed, the display displays the first object and the second object for a predetermined period of time.
18. The image display apparatus of claim 15 , wherein while the image signal is received from the settop box, in response to the source quality of the received image signal being changed at the first time point by a channel change or an input change, the image quality setter changes the image quality setting from the first image quality setting to the second image quality setting.