Methods and systems for removing artefacts from an image in a multi-camera device

An electronic device, comprising:

• a plurality of cameras;
• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the multi-camera device to:
• detect a light source in at least one image frame captured by at least one camera among the plurality of cameras of the electronic device;
• determine whether a brightness of the light source is more than a threshold value for the brightness,
• based on the brightness of the light source is more than the threshold value, obtain a first image using a first camera with a first View (FOV) among the plurality of cameras, and a second image using a second camera with a second FOV among the plurality of cameras;
• generate an aligned second image by aligning the first image and the second image based on the first FOV with the second FOV;
• generate a masked binary image by subtracting the first image from the aligned second image, wherein the masked binary image indicates one or more locations of one or more artifacts in the first image,
• remove the one or more artifacts from the first image by using the aligned second image and the masked binary image, and generate a third image that the one or more artifacts from the first image are removed, and
• display, through a display of the electronic device, the third image.

A non-transitory computer-readable recording medium having instructions recorded thereon, that, when executed by one or more processors of the electronic device, cause the electronic device to:

• detect a light source in at least one image frame captured by at least one camera among the plurality of cameras of the electronic device;
• determine whether a brightness of the light source is more than a threshold value for the brightness,
• based on the brightness of the light source is more than the threshold value, obtain a first image using a first camera with a first View (FOV) among the plurality of cameras, and a second image using a second camera with a second FOV among the plurality of cameras;
• generate an aligned second image by aligning the first image and the second image based on the first FOV with the second FOV;
• generate a masked binary image by subtracting the first image from the aligned second image, wherein the masked binary image indicates one or more locations of one or more artifacts in the first image,
• remove the one or more artifacts from the first image by using the aligned second image and the masked binary image, and generate a third image that the one or more artifacts from the first image are removed, and
• display, through a display of the electronic device, the third image.