Samsung Electronics Co., Ltd.

Seung-Gu Kim

Se-hyeok Park

Tae-gyoung Ahn

Hyun-Seung Lee

Young-ho Moon

Geon-hyoung Lee

Tae Gyoung Ahn

The present invention relates to a method and apparatus for motion estimation (ME) of a video in a video system. The method includes estimating an occlusion area by using a pattern map; removing a motion vector which corresponds to the estimated occlusion area from a motion vector field, and outputting remaining motion vectors as first candidate motion vectors; collecting motion vectors which correspond to an area of interest in the input video, detecting a representative motion vector which represents the collected motion vectors, and comparing the first candidate motion vectors with the representative motion vector removing a first candidate motion vector having a difference in a weight value from the representative motion vector which is greater than a first threshold value and outputting the remaining first candidate motion vectors as second candidate motion vectors; and performing a motion estimation operation by using the second candidate motion vectors.

Method and apparatus for motion estimation in a video system

A method and apparatus for encoding an image, and a method and apparatus for decoding an image. The method of encoding an image includes: classifying pixels forming an input image into a first pixel group in which bit depth of original pixel values is maintained, and a second pixel group in which bit depth of original pixel values is changed; generating a changed input image by changing the bit depth of pixel values of pixels in the second pixel group; and performing motion prediction and compensation on the changed input image.

Method and apparatus for encoding image, and method and apparatus for decoding image

A noise estimation apparatus and method to prevent texture from being erroneously determined as noise. To this end, the noise estimation method includes generating an initial noise map for an input image signal, generating at least one noise map based on a temporal change of an image signal continuing from the image signal, calculating a correlation value for each region between the initial noise map and the noise maps, and determining noise of an image according to a temporal change based on the correlation value.

Apparatus and method for estimating noise

A method and apparatus for reconstructing a low-resolution image is provided. The method includes magnifying a low-resolution image; extracting a high frequency component and a texture component from the pre-magnification low-resolution image; and reconstructing an image by synthesizing the extracted high frequency component and texture component with the magnified low-resolution image. The method and apparatus synthesizes only image components without a separate external DB, making it possible to enhance sharpness of the outline of images and thus effectively reconstruct fine texture components.

Method and apparatus for reconstructing an image

A method and apparatus for generating an interpolated frame are provided. The method includes: generating a motion vector for generating a third frame by performing motion estimation based on first image data and second image data, the first image data being a portion of image data of a first frame and the second image data being a portion of image data of a second frame; restoring the image data of the first frame based on the first image data and the image data of the second frame based on the second image data; and generating the third frame by performing motion compensation based on at least one of the restored image data of the first frame and the restored image data of the second frame and the generated motion vector.

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Seoul, South Korea

Seung-Gu Kim