Electronic apparatus and image processing method thereof

An electronic apparatus configured to perform downscaling comprising:

• a memory storing an input image;
• and
• at least one processor configured to:
• apply a filter to the input image to identify the input image as a plurality of areas,
• apply a first low-frequency filter to a first area among the plurality of areas of the input image to acquire a downscaled first image,
• apply a second low-frequency filter to a second area among the plurality of areas of the input image to acquire a downscaled second image,
• apply a pattern detection filter to the input image to acquire a weight value for identifying the plurality of areas, and
• apply the acquired weight value to the downscaled first image and apply another weight value acquired based on the acquired weight value to the downscaled second image to acquire the downscaled image,
• wherein a cut-off frequency of the second low-frequency filter is higher than a cut-off frequency of the first low-frequency filter.

An image processing method of an electronic apparatus to perform downscaling comprising:

• applying a filter to an input image to identify the input image as a plurality of areas;
• applying a first low-frequency filter to a first area among the plurality of areas;
• and
• applying a second low-frequency filter to a second area among the plurality of areas;
• and
• displaying a downscaled image acquired based on the filtered first area and the filtered second area,
• wherein a cut-off frequency of the second low-frequency filter is higher than a cut-off frequency of the first low-frequency filter,
• wherein at least one of the cut-off frequency of the first low-frequency filter and the cut-off frequency of the second low-frequency filter is determined based on a downscaling ratio with respect to the input image.

An image processing method of an electronic apparatus to perform downscaling comprising:

• applying a filter to an input image to identify the input image as a plurality of areas,
• applying a first low-frequency filter to a first area among the plurality of areas of the input image to acquire a downscaled first image,
• applying a second low-frequency filter to a second area among the plurality of areas of the input image to acquire a downscaled second image,
• applying a pattern detection filter to the input image to acquire a weight value for identifying the plurality of areas,
• applying the acquired weight value to the downscaled first image and apply another weight value acquired based on the acquired weight value to the downscaled second image to acquire the downscaled image, and
• displaying the downscaled image,
• wherein a cut-off frequency of the second low-frequency filter is higher than a cut-off frequency of the first low-frequency filter.