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1. WO2020139595 - REDUCTION OF BANDING ARTIFACTS IN IMAGE PROCESSING

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[ EN ]

What is claimed is:

1. A method compri sing :

detecting a sinusoidal light waveform in a frame that includes a banding artifact; obtaining a gain map based on the sinusoidal light waveform;

obtaining an inverted gain map based on the gain map;

applying the inverted gain map to the frame to repair the banding artifact to obtain a repaired frame; and

outputting the repaired frame.

2. The method of claim 1, further comprising:

applying a subsequent inverted gain map to a subsequent frame, wherein the subsequent inverted gain map is based on a frequency of the sinusoidal light waveform.

3. The method of claim 1 or 2, wherein the sinusoidal light waveform is detected based on image content data.

4. The method of claim 1 or 2, wherein the sinusoidal light waveform is detected based on luminance data of the frame.

5. The method of claim 1 or 2, wherein the sinusoidal light waveform is detected based on a timing of each frame based on a sensor configuration, and wherein the sensor configuration includes a clock or a phase lock loop (PLL) divider.

6. The method of claim 1 or 2, wherein the sinusoidal light waveform is detected based on gyroscope data or infrared (IR) sensor data.

7. An image capture device comprising:

an image sensor configured to capture a frame that includes a sinusoidal light waveform banding artifact; and

an image processor configured to:

detect a sinusoidal light waveform in the frame;

perform a sinusoidal regression;

obtain an inverted gain map;

apply the inverted gain map to the frame; and

output the frame.

8. The image capture device of claim 7, wherein the image processor is further configured to determine a frequency of the sinusoidal light waveform.

9. The image capture device of claim 8, wherein the image processor is further configured to apply a subsequent inverted gain map to a subsequent frame, wherein the subsequent inverted gain map is based on the frequency of the sinusoidal light waveform

10. The image capture device of claim 8 or 9, wherein the frequency is 50 Hz or 60 Hz.

11. The image capture device of claim 8 or 9, wherein the image processor is configured to perform the sinusoidal regression to synchronize a respective inverted gain map with each subsequent frame based on a timing of each subsequent frame and the frequency of the sinusoidal light waveform.

12. The image capture device of claim 8 or 9, wherein the image processor is configured to apply each respective inverted gain map to a respective subsequent frame.

13. A method compri sing :

detecting a sinusoidal light waveform in a first frame of a plurality of frames;

determining a frequency of the sinusoidal light waveform;

performing a sinusoidal regression to obtain a first inverted gain map for the first frame, wherein the sinusoidal regression is based on a timing of the first frame and the frequency of the sinusoidal light waveform;

applying the first inverted gain map to the first frame; and

applying a respective inverted gain map to each of the plurality of frames, wherein each respective gain map is based on a timing of each respective frame of the plurality of frames and the frequency of the sinusoidal light waveform.

14. The method of claim 13, wherein the sinusoidal light waveform is detected based on luminance data of the first frame, gyroscope data, or infrared (IR) sensor data.

15. The method of claim 13 or 14, wherein the frequency is 50 Hz or 60 Hz.