Abstract: Provided are a hole filling method using estimated spatio-temporal background information and a recording medium and apparatus for performing the same. The present disclosure is providing a hole filling method using estimated spatio-temporal background information, the hole filling method being capable of estimating temporal background information, estimating spatial background information, and merging the temporal background information and the spatial background information to perform a hole filling process, and a recording medium and apparatus for performing the same.

Abstract: Provided are a hole filling method using estimated spatio-temporal background information and a recording medium and apparatus for performing the same. The present disclosure is providing a hole filling method using estimated spatio-temporal background information, the hole filling method being capable of estimating temporal background information, estimating spatial background information, and merging the temporal background information and the spatial background information to perform a hole filling process, and a recording medium and apparatus for performing the same.

Abstract: An apparatus and a method for setting a search region for the predicting of a motion vector are disclosed. The apparatus for setting a search region for predicting a motion vector includes: a computation unit configured to compute differences between an origin vector of a search region for a target block for motion vector prediction and predictive motion vectors of multiple blocks adjacent to the target block, and compute a sum of absolute values of the differences; and a search region setting unit configured to set a range value of the search region for the target block by using at least one of the sum of absolute values of the differences and a directionality of the predictive motion vectors for the multiple adjacent blocks. According to an embodiment of the present invention, the amount of computation and the time expended for computation when predicting motion vectors can be significantly reduced.

Abstract: Disclosed is a method for hole-filling in 3D models. The method includes extracting static background information from a current frame of an input image and extracting virtual static background information using the static background information, warping a color image and a depth map of the current frame to acquire a virtual image and a virtual depth map, and labeling a hole area formed in the virtual depth map to extract local background information, performing a first hole-filling onto the virtual image and the virtual depth map using a similarity between the virtual static background information and the local background information, and performing a second hole-filling with respect to remaining holes after the first hole-filling in a manner of an exemplar-based in-painting method to which a priority function including a depth term is applied.

Abstract: Disclosed is a method for hole-filling in 3D models. The method includes extracting static background information from a current frame of an input image and extracting virtual static background information using the static background information, warping a color image and a depth map of the current frame to acquire a virtual image and a virtual depth map, and labeling a hole area formed in the virtual depth map to extract local background information, performing a first hole-filling onto the virtual image and the virtual depth map using a similarity between the virtual static background information and the local background information, and performing a second hole-filling with respect to remaining holes after the first hole-filling in a manner of an exemplar-based in-painting method to which a priority function including a depth term is applied.

Abstract: An image processing system and method is provided. The image processing system includes extracting a first local statistical characteristics from an observed image, generating a low-pass filter according to the first local statistical characteristics to generate a predicted noise image, and extracting second local statistical characteristics from the predicted noise image, extracting a third local statistical characteristics from a predicted original image using the first local statistical characteristics of the observed image and the second local statistical characteristics of the predicted noise image, and setting a flag level indicating a noise level for each pixel of the observed image according to the third local statistical characteristics of the predicted original image to detect noise, and setting a filter coefficient according to the flag level of the detected noise to remove the noise, and restoring the observed image.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block.

Abstract: An image processing system and method is provided. The image processing system includes extracting a first local statistical characteristics from an observed image, generating a low-pass filter according to the first local statistical characteristics to generate a predicted noise image, and extracting second local statistical characteristics from the predicted noise image, extracting a third local statistical characteristics from a predicted original image using the first local statistical characteristics of the observed image and the second local statistical characteristics of the predicted noise image, and setting a flag level indicating a noise level for each pixel of the observed image according to the third local statistical characteristics of the predicted original image to detect noise, and setting a filter coefficient according to the flag level of the detected noise to remove the noise, and restoring the observed image.

Abstract: An apparatus and a method for setting a search region for the predicting of a motion vector are disclosed. The apparatus for setting a search region for predicting a motion vector includes: a computation unit configured to compute differences between an origin vector of a search region for a target block for motion vector prediction and predictive motion vectors of multiple blocks adjacent to the target block, and compute a sum of absolute values of the differences; and a search region setting unit configured to set a range value of the search region for the target block by using at least one of the sum of absolute values of the differences and a directionality of the predictive motion vectors for the multiple adjacent blocks. According to an embodiment of the present invention, the amount of computation and the time expended for computation when predicting motion vectors can be significantly reduced.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block.

Abstract: The present invention relates to an interpolation method for enlarging a digital image or predicting a moving vector of a compressed image system as a sub-pixel unit when the image digitized through a CCD (Charge Coupled Device) camera ect. has a low resolution in a video phone or video conference or general digital video system, particularly the present invention can be adapted to a post processor of a compressed digital image in order to improve the image quality, and can be used for finding a moving vector of a moving picture compressed type, accordingly the present invention is capable of improving the image quality.

Abstract: The present invention relates to a method for eliminating a blocking effect in a compressed video signal signal. The method of the invention includes: the encoding step of eliminating a blocking effect by compensating the motion of a signal compressed in block unit to be transmitted; the decoding step of restoring the motion compensated video signal to the original video signal by reducing the prediction residual between the motion compensated video signal and the original video signal and the blocking effect; and the post-filtering step of performing post-filtering in a blocking elimination filter in order to eliminate a blocking effect and ring effect remained in the compensated signal. The equation for obtaining the original pixel is made simple by eliminating the remaining blocking effect and ring effect using a loop/post filter.

Abstract: The present invention relates to an interpolation method for enlarging a digital image or predicting a moving vector of a compressed image system as a sub-pixel unit when the image digitized through a CCD (Charge Coupled Device) camera ect. has a low resolution in a video phone or video conference or general digital video system, particularly the present invention can be adapted to a post processor of a compressed digital image in order to improve the image quality, and can be used for finding a moving vector of a moving picture compressed type, accordingly the present invention is capable of improving the image quality.

Abstract: The present invention relates to an interpolation method for enlarging a digital image or predicting a moving vector of a compressed image system as a sub-pixel unit when the image digitized through a CCD (Charge Coupled Device) camera ect. has a low resolution in a video phone or video conference or general digital video system, particularly the present invention can be adapted to a post processor of a compressed digital image in order to improve the image quality, and can be used for finding a moving vector of a moving picture compressed type, accordingly the present invention is capable of improving the image quality.

Abstract: The present invention relates to an interpolation method for enlarging a digital image or predicting a moving vector of a compressed image system as a sub-pixel unit when the image digitized through a CCD (Charge Coupled Device) camera ect. has a low resolution in a video phone or video conference or general digital video system, particularly the present invention can be adapted to a post processor of a compressed digital image in order to improve the image quality, and can be used for finding a moving vector of a moving picture compressed type, accordingly the present invention is capable of improving the image quality.

Abstract: The present invention relates to an interpolation method for enlarging a digital image or predicting a moving vector of a compressed image system as a sub-pixel unit when the image digitized through a CCD (Charge Coupled Device) camera ect. has a low resolution in a video phone or video conference or general digital video system, particularly the present invention can be adapted to a post processor of a compressed digital image in order to improve the image quality, and can be used for finding a moving vector of a moving picture compressed type, accordingly the present invention is capable of improving the image quality.

Abstract: The present invention relates to an interpolation method for enlarging a digital image or predicting a moving vector of a compressed image system as a sub-pixel unit when the image digitized through a CCD (Charge Coupled Device) camera ect. has a low resolution in a video phone or video conference or general digital video system, particularly the present invention can be adapted to a post processor of a compressed digital image in order to improve the image quality, and can be used for finding a moving vector of a moving picture compressed type, accordingly the present invention is capable of improving the image quality.

Abstract: The present invention relates to an interpolation method for enlarging a digital image or predicting a moving vector of a compressed image system as a sub-pixel unit when the image digitized through a CCD (Charge Coupled Device) camera ect. has a low resolution in a video phone or video conference or general digital video system, particularly the present invention can be adapted to a post processor of a compressed digital image in order to improve the image quality, and can be used for finding a moving vector of a moving picture compressed type, accordingly the present invention is capable of improving the image quality.