Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Dong-yoon Kim

Tae-gyoung Ahn

Hyung-jun Lim

Seong-hoon Choi

Young-su Moon

Eun-seok Choi

Wook Chang

Ho-cheon Wey

Hyun-wook Park

Seung-Ho Park

Se-hyeok Park

Kyoung-ho Kang

Seung-ho Park

Won-Chul Bang

Yong-hoon Yu

Sang-hun Kim

An image processing apparatus is provided. The image processing apparatus according to an example embodiment includes an input unit comprising input circuitry, and a processor configured to: perform a noise reduction process on an image input through the input unit, identify a first pixel block based on an object pixel in the input image, identify a second pixel block based on the object pixel in a denoised image, obtain a gain value based on a pixel value included in the first pixel block and a pixel value included in the second pixel block, and perform an enhancement process on the denoised image by applying the obtained gain value to the second pixel block.

Image processing apparatus and image processing method thereof

A display apparatus and a method of processing an image thereof are provided. The method includes identifying at least one area of an input image by analyzing a dynamic range of the input image, obtaining at least one mapping function based on dynamic range information and brightness information of the at least one area and dynamic range information of the display apparatus, obtaining at least one virtual image where the dynamic range of the input image is converted using the at least one mapping function, synthesizing the at least one virtual image and the input image, and outputting the synthesized image.

Display apparatus and method of processing image thereof

A video processing method includes generating a first down-sampled block by down-sampling a first block included in a first frame; generating a plurality of second down-sampled blocks by down-sampling a second block included in a second frame; selecting one of the plurality of second down-sampled blocks by comparing the first down-sampled block and each of the plurality of second down-sampled blocks; and determining, based on the first down-sampled block and the one selected second down-sampled block, a motion vector whereby the second block points to the first block, wherein the plurality of second down-sampled blocks are generated using down-sampling methods that are different from each other with respect to samples of the second block.

Method and apparatus for determining motion vector in video

A frame rate conversion apparatus is provided. The frame rate conversion apparatus includes at least one processor configured to determine a noise strength of a block of a current frame among a plurality of frames forming an input video, generate a block of an interpolation frame corresponding to the block of the current frame by estimating a motion vector of a block of the interpolation frame based on the noise strength, and insert the interpolation frame between the current frame and an adjacent frame to adjust a frame rate of the input video.

Apparatus and method for frame rate conversion

Disclosed is a motion vector smoothing method. The motion vector smoothing method includes acquiring motion vectors of at least one block of a current image by using a reference image, acquiring a candidate motion vector of a current block, based on a motion vector of the current block, and at least one motion vector of at least one block adjacent to the current block, determining a threshold value of the current block according to gradient values of pixels included in the current block, and determining the motion vector of the current block according to the threshold value.

Motion vector smoothing method and apparatus

An input system based on a three-dimensional inertial navigation system and a trajectory estimation method thereof is disclosed. The input system based on the three-dimensional inertial navigation system according to the present invention has acceleration sensors for outputting acceleration information just before motions, acceleration information on the motions, and acceleration information just after the motions; a rotation angle information estimation-computing portion for estimating rotation angle information on the motions through a predetermined computing process based on the outputted acceleration information just before the motions and acceleration information just after the motions; a conversion-computing unit for calculating position information on the motions based on the estimated rotation angle information on the motions and the outputted acceleration information on the motions; and an optimal plane-computing unit for projecting the position information on the motions onto an optimal plane.

Input system based on a three-dimensional inertial navigation system and trajectory estimation method thereof

Growing community of inventors

Suwon-si, South Korea

Dong-yoon Kim