Abstract: A method of estimating a quantization table for an image block, which is compressed in image processing, includes performing a first quantization using a table dictionary that includes a number of candidate quantization tables for the compressed image block; performing edge-related filtering on the compressed image block and performing a second quantization using the table dictionary for the filtered compressed image block; and estimating a quantization table for the compressed image block based on energy costs of the first-quantized image block and the second-quantized image block.

Abstract: A user interface apparatus and method in a user terminal that uses a capacitive touch input scheme are provided. The method includes monitoring an input signal that is generated by a touch on a touch panel; and in response to detecting an input signal generated by the touch, determining an area of the touch based on the input signal, and differently processing a selected command depending on the determined area.

Abstract: A method and apparatus for enhancing and improving image quality are provided. The method includes separating an input image into at least one low frequency component and at least one high frequency component; modulating the low frequency components in a block unit by dithering; modulating the high frequency components by sampling; and combining the modulated low frequency components and the modulated high frequency components.

Abstract: A user interface apparatus and method in a user terminal that uses a capacitive touch input scheme are provided. The method includes monitoring an input signal that is generated by a touch on a touch panel; and in response to detecting an input signal generated by the touch, determining an area of the touch based on the input signal, and differently processing a selected command depending on the determined area.

Abstract: A block-based image denoising method includes determining similarities between a current block and reference blocks within a search range around the current block, from among certain-sized blocks divided from an input image; determining weights of the reference blocks with respect to the current block based on the similarities; and generating resultant blocks by denoising the current block with respect to every block of the input image based on the weights of the reference blocks.

Abstract: A method of estimating a quantization table for an image block compressed in image processing is provided. The method including performing a first quantization using a table dictionary that includes a number of candidate quantization tables for the compressed image block; performing edge-related filtering on the compressed image block and performing a second quantization using the table dictionary for the filtered compressed image block; and estimating a quantization table for the compressed image block based on energy costs of the first-quantized image block and the second-quantized image block.

Abstract: A method and apparatus for converting a resolution of a block-based image. The method includes: dividing a low resolution image frame into a plurality of blocks, each block having a predetermined size; performing motion prediction in a sub-pixel unit of each of the divided blocks and determining a motion vector in the sub-pixel unit; dividing the motion vector of the sub-pixel unit into a first motion vector having an integer pixel unit and a second motion vector having the sub-pixel unit; determining at least one low resolution reference block corresponding to each of the divided blocks by using the first motion vector having the integer pixel unit; converting each of the divided blocks into high resolution block by using the second motion vector having the sub-pixel unit and the one low resolution reference block; and generating a high resolution image frame by using each of the converted high resolution blocks.

Abstract: A method and apparatus for removing an image blocking artifact by using a transformation coefficient are provided. The method includes: detecting a first blocking artifact which is in a flat region of the input image; removing the first blocking artifact using a number of low frequency coefficients from among transformation coefficients for each transformation block of a plurality of transformation blocks of the input image, based on a result of detecting the first blocking artifact; detecting an edge region of the input image; and removing a second blocking artifact, which is in an edge region of an intermediate image obtained from the removing of the first blocking artifact of the input image, based on the detected edge region in the input image.

Abstract: A method and apparatus for converting a resolution of a block-based image. The method includes: dividing a low resolution image frame into a plurality of blocks, each block having a predetermined size; performing motion prediction in a sub-pixel unit of each of the divided blocks and determining a motion vector in the sub-pixel unit; dividing the motion vector of the sub-pixel unit into a first motion vector having an integer pixel unit and a second motion vector having the sub-pixel unit; determining at least one low resolution reference block corresponding to each of the divided blocks by using the first motion vector having the integer pixel unit; converting each of the divided blocks into high resolution block by using the second motion vector having the sub-pixel unit and the one low resolution reference block; and generating a high resolution image frame by using each of the converted high resolution blocks.

Abstract: A method and apparatus for removing an image blocking artifact by using a transformation coefficient are provided. The method includes: detecting a first blocking artifact which is in a flat region of the input image; removing the first blocking artifact using a number of low frequency coefficients from among transformation coefficients for each transformation block of a plurality of transformation blocks of the input image, based on a result of detecting the first blocking artifact; detecting an edge region of the input image; and removing a second blocking artifact, which is in an edge region of an intermediate image obtained from the removing of the first blocking artifact of the input image, based on the detected edge region in the input image.

Abstract: A method and apparatus for enhancing and improving image quality are provided. The method includes separating an input image into at least one low frequency component and at least one high frequency component; modulating the low frequency components in a block unit by dithering; modulating the high frequency components by sampling; and combining the modulated low frequency components and the modulated high frequency components.

Abstract: A block-based image denoising method includes determining similarities between a current block and reference blocks within a search range around the current block, from among certain-sized blocks divided from an input image; determining weights of the reference blocks with respect to the current block based on the similarities; and generating resultant blocks by denoising the current block with respect to every block of the input image based on the weights of the reference blocks.

Abstract: Disclosed is a method for removing image noise using pattern information, which filters noise caught by a sensor during preprocessing of a compression codec, so as to increase a compression efficiency, and noise caused by the codec during post-processing of the codec, so as to obtain high quality images.

Abstract: Disclosed is a method for removing image noise using pattern information, which filters noise caught by a sensor during preprocessing of a compression codec, so as to increase a compression efficiency, and noise caused by the codec during post-processing of the codec, so as to obtain high quality images.