An electronic apparatus comprising: a memory configured to store a plurality of images and at least two artificial intelligence models trained to increase a quality of an input image, wherein the at least two artificial intelligence models comprise a first artificial intelligence model trained to reduce noise and a second artificial intelligence model trained to increase sharpness, and the plurality of images comprises a first image and a second image; a first processor configured to identify different qualities of the plurality of images as being noise and sharpness; a second processor configured to process the plurality of images to a uniform noise and sharpness using the at least two artificial intelligence models corresponding to the identified different qualities, wherein: based on a noise identified in the first image being greater than or equal to a threshold noise, the second processor uses the first artificial intelligence model to process the first image, and based on a sharpness identified in the second image being less than a threshold sharpness, the second processor uses the second artificial intelligence model to process the second image; a third processor configured to obtain a graphic image including the processed plurality of images received from the second processor; and a fourth processor configured to process the graphic image so that the processed graphic image is displayed on a display of the electronic apparatus . a memory configured to store a plurality of images and at least two artificial intelligence models trained to increase a quality of an input image, wherein the at least two artificial intelligence models comprise a first artificial intelligence model trained to reduce noise and a second artificial intelligence model trained to increase sharpness, and the plurality of images comprises a first image and a second image; a first processor configured to identify different qualities of the plurality of images as being noise and sharpness; a second processor configured to process the plurality of images to a uniform noise and sharpness using the at least two artificial intelligence models corresponding to the identified different qualities, wherein: based on a noise identified in the first image being greater than or equal to a threshold noise, the second processor uses the first artificial intelligence model to process the first image, and based on a sharpness identified in the second image being less than a threshold sharpness, the second processor uses the second artificial intelligence model to process the second image; a third processor configured to obtain a graphic image including the processed plurality of images received from the second processor; and a fourth processor configured to process the graphic image so that the processed graphic image is displayed on a display of the electronic apparatus . based on a noise identified in the first image being greater than or equal to a threshold noise, the second processor uses the first artificial intelligence model to process the first image, and based on a sharpness identified in the second image being less than a threshold sharpness, the second processor uses the second artificial intelligence model to process the second image; a third processor configured to obtain a graphic image including the processed plurality of images received from the second processor; and a fourth processor configured to process the graphic image so that the processed graphic image is displayed on a display of the electronic apparatus . <EOS>