Abstract: An image processing method of an image signal processor includes obtaining a first estimated image by interpolating signals output from first color pixels, among a plurality of unit pixels included in a pixel array, in a first direction, obtaining a second estimated image by interpolating signals output from the first color pixels in a second direction, intersecting the first direction, detecting a first artifact component in the first direction with respect to pixels included in the first estimated image, detecting a second artifact component in the second direction with respect to pixels included in the second estimated image, obtaining a first weight based on at least a portion of the first artifact component and the second artifact component, and generating a first output image from the first estimated image and the second estimated image using the first weight.

Abstract: An image processing device comprises an image sensor including unit groups comprising a reference group and a conversion group each including pixels and color filters, and is configured to generate image data using the pixels, and an image signal processor which is configured to calculate a hash of the image data, and to select a filter corresponding to the hash to perform filtering, wherein the image signal processor includes a pixel index converter which is configured to convert indexes of the pixels based on a positional relationship between the pixels, a pixel property converter which is configured to convert the properties of the pixels and to convert the hash before conversion, and a filter coefficient converter which is configured to convert filter coefficients of the pixels based on the respective converted pixel index and the respective converted pixel property.

Abstract: An image processing device comprises an image sensor including unit groups comprising a reference group and a conversion group each including pixels and color filters, and is configured to generate image data using the pixels, and an image signal processor which is configured to calculate a hash of the image data, and to select a filter corresponding to the hash to perform filtering, wherein the image signal processor includes a pixel index converter which is configured to convert indexes of the pixels based on a positional relationship between the pixels, a pixel property converter which is configured to convert the properties of the pixels and to convert the hash before conversion, and a filter coefficient converter which is configured to convert filter coefficients of the pixels based on the respective converted pixel index and the respective converted pixel property.

Abstract: A method of calibrating an image sensor including a color filter array having a first-type array pattern, the method includes capturing a target using the image sensor to generate first image data, performing a white balance operation on the first image data to generate second image data, performing an inverse white balance operation on the second image data based on a second-type array pattern to generate third image data, the second-type array pattern being different from the first-type array pattern, and calibrating the image sensor based on the third image data.

Abstract: Provided is an image sensor including a pixel array including a plurality of pixels, and a micro lens array including a first micro lens of a first size provided in a first area of the pixel array and a second micro lens of a second size provided in a second area of the pixel array, the second size being different from the first size.

Abstract: Provided is an image sensor including a pixel array including a plurality of pixels, and a micro lens array including a first micro lens of a first size provided in a first area of the pixel array and a second micro lens of a second size provided in a second area of the pixel array, the second size being different from the first size.

Abstract: Provided is an image sensor including a pixel array including a plurality of pixels, and a micro lens array including a first micro lens of a first size provided in a first area of the pixel array and a second micro lens of a second size provided in a second area of the pixel array, the second size being different from the first size.

Abstract: A method of calibrating an image sensor including a color filter array having a first-type array pattern, the method includes capturing a target using the image sensor to generate first image data, performing a white balance operation on the first image data to generate second image data, performing an inverse white balance operation on the second image data based on a second-type array pattern to generate third image data, the second-type array pattern being different from the first-type array pattern, and calibrating the image sensor based on the third image data.

Abstract: An image sensor includes a pixel array that includes a first pixel group and a second pixel group, each including a plurality of image pixels to generate image data. The first pixel group includes a first phase detection pixel pair including first phase detection pixels arranged adjacent to each other in a first direction and having at least one first microlens thereon, and the second pixel group includes a second phase detection pixel pair including second phase detection pixels arranged adjacent to each other in a second direction different from the first direction and having at least one second microlens thereon. The sensitivity of the first phase detection pixels is different from the sensitivity of the second phase detection pixels.

Abstract: Provided is an image sensor including a pixel array including a plurality of pixels, and a micro lens array including a first micro lens of a first size provided in a first area of the pixel array and a second micro lens of a second size provided in a second area of the pixel array, the second size being different from the first size.

Abstract: An image sensor includes a pixel array that includes a first pixel group and a second pixel group, each including a plurality of image pixels to generate image data. The first pixel group includes a first phase detection pixel pair including first phase detection pixels arranged adjacent to each other in a first direction and having at least one first microlens thereon, and the second pixel group includes a second phase detection pixel pair including second phase detection pixels arranged adjacent to each other in a second direction different from the first direction and having at least one second microlens thereon. The sensitivity of the first phase detection pixels is different from the sensitivity of the second phase detection pixels.

Abstract: An image generating device for generating a depth map is provided. The image generating device includes an image sensor including phase detection pixels, a lens driver adjusting a position of a lens to adjust a distance between the lens and an object, a phase difference calculator calculating first phase differences based on first phase signals generated when the lens is placed in a first position and calculating second phase differences based on second phase signals generated when the lens is placed in a second position being different from the first position, and a depth map generator generating first and second depth data associated with a distance between the phase detection pixels and the object based on the first and second phase differences and generating a depth map based on the first and second depth data.

Abstract: An image generating device for generating a depth map is provided. The image generating device includes an image sensor including phase detection pixels, a lens driver adjusting a position of a lens to adjust a distance between the lens and an object, a phase difference calculator calculating first phase differences based on first phase signals generated when the lens is placed in a first position and calculating second phase differences based on second phase signals generated when the lens is placed in a second position being different from the first position, and a depth map generator generating first and second depth data associated with a distance between the phase detection pixels and the object based on the first and second phase differences and generating a depth map based on the first and second depth data.

Abstract: An apparatus and method for image interpolation using an anisotropic Gaussian filter, the image interpolation apparatus including: an edge information calculator calculating a first edge orientation that is an orientation of an edge of each of a plurality of pixels that constitute an input low resolution image, and first edge orientation energy that is a maximal strength of the edge corresponding to the first edge orientation; an image enlarging unit calculating a second edge orientation and second edge orientation energy of each of pixels to be interpolated, which are obtained by subtracting reference pixels corresponding to each of the pixels of the low resolution image among a plurality of pixels that constitute the high resolution image that is obtained by enlarging the low resolution image, based on the first edge orientation and the first edge orientation energy of the adjacent reference pixels; and a pixel value calculator calculating a value of each of the pixels to be interpolated, by using an interp