Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Yonsei University

Unist-academy Industry Research Corporation

Se-hyeok Park

Tae-gyoung Ahn

Seung-Gu Kim

Jae-hyun Kim

Gun-Shik Shin

Jae-Hyun Kim

Jong-Hyun Park

Hyun-Seung Lee

Seung-ho Park

Jeong-Hoon Park

Min-Woo Lee

Hyun-Hee Park

Hyung-jun Lim

Jong-Ho Kim

Hyun-wook Park

Ji-Young Yi

Jong-man Kim

Youn-jin Kim

Dong-Hyun Kim

Young-ho Moon

Seung-Ho Park

Byung-seok Min

Yong-deok Kim

Jong-sul Min

Moon-Gi Kang

Geon-hyoung Lee

Young-shin Kwak

Soo-yeon Lee

Jong-ho Kim

Yong Ki Kim

Jae-Hun Cho

Ji-yong Kwon

Seok-bong Yoo

Chang-su Han

Woo-seok Kang

Dong-yoon Kim

Young-seok Han

Jong-beom Ra

Bong-joe Kim

Du-sic Yoo

Jae-hyang Lee

Kyu-ha Choi

Tae Gyoung Ahn

Jong-Beom Na

Seok-Bong Yu

Gyu-Ha Choi

Eun-Hyun Kim

Seung-hoon Jee

Kyu-Ha Choi

Seok-Bong Yoo

Jong-Bum Ra

A content providing apparatus is disclosed. The content providing apparatus comprises: a communication unit for communicating with an external apparatus; an image processing unit for generating a compressed image by image-processing an input original image; and a control unit for controlling the communication unit to divide the original image into one or more regions based on the image quality, to obtain characteristic information for each region from the respective regions, and to transmit the obtained characteristic information for each region together with the compressed image to the external apparatus. As the result, the display apparatus may perform image quality improvement operation so that the image quality is close to the original quality level by extracting information required for improving the image quality and transmitting the same together with a compressed image in production and encoding steps before transmitting the image.

Content providing apparatus, display apparatus, and control method therefor

An image processing apparatus which is capable of providing images with enhanced resolution and enhanced sharpness is provided. The image processing apparatus includes an inputter configured to receive an input of image data, an up-scaler configured to up-scale the inputted image data, a region sense unit configured to sense an edge region and a line region within the up-scaled image data by extracting brightness information of the up-scaled image data, an image corrector configured to correct the up-scaled image data in different correction methods for each of the edge region and the line region, and an outputter configured to output the corrected image data.

Image processing apparatus, image processing method, and computer-readable recording medium

A method and apparatus for processing a multi-view image is provided. The method includes: extracting disparity information between an image of a first point of view and an image of a second point of view; and estimating a motion between two sequential images of the first point of view or the second point of view using the extracted disparity information. The apparatus may include a processor which is configured to extract disparity information between an image of a first point of view and an image of a second point of view in the multi-view image and is further configured to estimate a motion using the extracted disparity information between two sequential images of the first point of view or the second point of view.

Method and apparatus for estimating image motion using disparity information of a multi-view image

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

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.

Method and apparatus for estimating a quantization table for a video image

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

Provided are an image encoding method and apparatus, and an image decoding method and apparatus. The image encoding method includes: obtaining a variation of a motion estimation error with respect to a homogeneity degree of a motion vector according to mergence, based on a motion vector of each of merged blocks obtained by merging adjacent blocks, motion vectors of the adjacent blocks included in each of the merged blocks, and motion vectors of neighboring blocks of each of the merged blocks; and determining, based on the obtained variation, a merged block having a smallest variation from among the merged blocks and whether to merge the adjacent blocks included in the determined merged block.

Image encoding method and apparatus and image decoding method and apparatus based on motion vector normalization

A display method and a display device for optimizing screen brightness of a mobile terminal are provided. The display method includes: determining an external illuminance value based on a sensor signal by detecting by the sensor signal for determining a brightness value of a screen; determining the brightness value of the screen corresponding to the external illuminance value; and outputting an image signal by using the brightness value of the screen.

Display method and device for optimizing screen brightness

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 for processing image data corresponding to temporally successive motions of an object, the method including adjusting a range of a first occlusion region which is estimated according to whether position changes occur in sub-blocks forming temporally successive first and second frames among image frames which display the motions of the object, by using Motion Vectors (MVs) mapped to the sub-blocks and detecting a second occlusion region of a third frame which displays the object that moves between the first frame and the second frame, by using the adjusted range of the first occlusion region.

Method and apparatus for processing image data corresponding to temporally successive motions of object

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

An apparatus and method are provided for performing detail enhancement. The apparatus includes an edge detector that detects an edge pixel from contents based on a luminance component of the contents, a histogram analyzer that generates at least one histogram with respect to the edge pixel and determines a gain variable value of the edge pixel based on the at least one histogram, and a gain regulator that determines a gain corresponding to the gain variable value of the edge pixel.

Apparatus and method for performing detail enhancement

A method and apparatus for enhancing chroma of an input image by performing chroma conversion on a chroma value of a chroma component of the input image and compensating for a variation in a brightness value of the input image, based on the chroma value on which the chroma conversion is performed.

Method and apparatus for enhancing chroma of input 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.

Method and apparatus for generating interpolated frame between original frames

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Seoul, South Korea

Se-hyeok Park