Samsung Electronics Co., Ltd.

Dai-woong Choi

Sung-bum Park

Jae-won Yoon

Jung-Woo Kim

Woo-sung Shim

Young-ho Moon

Jong-bum Choi

Jun-ho Cho

Dae-sung Cho

Hae-Young Jun

Woong-il Choi

Do-wan Kim

Yong-gyoo Kim

Hyun-soo Choi

Jae-kyeong Lee

Jae-yun Jeong

Shin-wook Kang

Gun-hee Lee

Jin-bong Lee

Jeong-Hoon Park

Chan-yul Kim

Huai-Rong Shao

Sung-Bum Park

Kwang-pyo Choi

Jung-woo Kim

Jung-Hyeon Kim

Dae-hee Kim

Dong-woo Kim

Jong-seok Lee

Pil-kyu Park

A-Rang Lee

Jun-Ho Cho

A method of processing an image by a device obtaining one or more images including captured images of objects in a target space, generating metadata including information about mapping between the one or more images and a three-dimensional (3D) mesh model used to generate a virtual reality (VR) image of the target space, and transmitting the one or more images and the metadata to a terminal.

Method, apparatus, and recording medium for processing image

Encoding an image using a non-encoding region of the image, a block-based encoding region of the image, and a pixel-based encoding region of the image.

Encoding method and apparatus using non-encoding region, block-based encoding region, and pixel-based encoding region

Provided is a re-encoding method including obtaining a first quantization table from a bitstream including an image encoded using the first quantization table; obtaining a second quantization table based on a pattern representing a size distribution of values of elements of the first quantization table, the second quantization table including elements respectively corresponding to the elements of the first quantization table; and re-encoding a reconstructed image by using the second quantization table, the reconstructed image being obtained by decoding the encoded image by using the first quantization table.

Method for re-encoding image and apparatus therefor

A method of determining whether an image is to be re-encoded includes obtaining a first quantization matrix from an image file including the image, the image being encoded by quantization based on the first quantization matrix including a plurality of first quantization parameters; obtaining a second quantization matrix from a re-encoding device, the second quantization matrix including a plurality of second quantization parameters and having the same size as the first quantization matrix; determining a comparison coefficient based on elements greater than '0' among elements of a comparison matrix obtained by subtracting the first quantization matrix from the second quantization matrix; and determining that the image is to be decoded by inverse quantization based on the first quantization matrix and the decoded image is to be re-encoded by quantization based on the second quantization matrix, when the comparison coefficient is greater than a first threshold value.

Image re-encoding method and device thereof

Methods and apparatuses for encoding and decoding mode information of a block of an image. The method of decoding the mode information includes decoding information representing whether a current block is encoded in a first mode, and hierarchically decoding information representing an encoding mode of the current block from among a second mode and a third mode.

Methods and apparatuses for encoding and decoding mode information

A method and apparatus for processing a video frame is provided. The method includes dividing the video frame into pixel blocks each including a reference pixel; calculating difference values between the reference pixel and pixels neighboring the reference pixel; converting the calculated difference values into values that belong to a bit depth range; and performing entropy coding by using the converted difference values as symbols.

Method and apparatus for processing video frame by using difference between pixel values

A method and apparatus for generating video packets and a method and apparatus for restoring video are provided. The method of generating video packets includes: generating at least one pixel block consisting of at least one reference pixel and a plurality of neighboring pixels adjacent to the at least one reference pixel from pixels of a video frame; replacing pixel values of the neighboring pixels in the at least one pixel block with pixel difference values, which are difference values between a pixel value of one of pixels adjacent to the neighboring pixels and the pixel values of the neighboring pixels; generating packets so that a pixel value of the at least one reference pixel and the pixel difference values of the neighboring pixels are allocated to different packets according to positions of the pixels; and performing entropy coding of some of the packets including the pixel difference values of the neighboring pixels.

Method and apparatus for generating video packets, method and apparatus for restoring video

A method and apparatus for implementing cloud computing by efficiently encoding a display screen between a cloud server and a client terminal. The method for encoding a cloud display screen in the cloud server, includes: acquiring region information of currently generated windows based on an application programming interface (API) function information of an Operating System (OS); extracting relative depth information between each of the currently generated windows from the OS; generating an encoding mode map in which an entire screen is divided into a plurality of blocks, based on the acquired region information and the extracted relative depth information; and encoding each of the plurality of blocks based on the generated encoding mode map.

Method and apparatus for encoding cloud display screen by using application programming interface information

Provided is a method and apparatus for compression encoding/decoding an image based on the repetition of an access unit and the repetition of a residual value.

Method and apparatus for successively encoding/decoding image

Provided are binary image encoding and decoding methods and binary image encoding and decoding apparatuses using an adaptive template. The binary image encoding method includes: applying a window having a predetermined size and shape to a predetermined number of previous pixels and peripheral pixels of the previous pixels, and acquiring correlations between the previous pixels and the peripheral pixels within the window; determining relative locations having high correlation with the previous pixels within the window based on the acquired correlations; generating a template based on the determined relative locations; and performing binary arithmetic encoding on a current pixel by using the generated template.

Method and apparatus for encoding binary image using adaptive template and method and apparatus for decoding the same

A method and apparatus for decoding an image are provided. The method includes: decoding information representing that a first block of the image has been encoded in a first mode; and reconstructing the first block by setting pixel values of the first block to be identical with pixel values of a second block of the image that is adjacent to the first block and has been decoded prior to the first block, wherein the first mode is a mode for encoding information representing that the first block is identical or similar to the second block and has been encoded in the first mode, instead of encoding the pixel values of the first block.

Method and apparatus for encoding and decoding image based on skip mode

An image encoding method and apparatus, and an image decoding method and apparatus respectively corresponding to the image encoding method and apparatus are provided. The image encoding method includes: if a current block is an initial block of a current slice, determining whether a virtual block in which pixel values are equal to a predetermined value is identical to the current block; and encoding the current block in a first mode based on the determining, wherein the first mode is a mode for encoding information representing that the current block is encoded in the first mode, instead of encoding pixel values of the current block, when the current block is identical to the virtual block.

Provided are an image processing method and image processing apparatus using least significant bits (LSBs). The image processing method includes generating first binary codes by converting pixel values of an input image into a binary code format; converting the first binary codes into gray codes and determining a predetermined number of sequential LSBs from among the gray codes; and generating second binary codes by converting the determined LSBs of the gray codes into the binary code format.

Image processing method and image processing apparatus using least significant bits

Methods and apparatuses for generating video packets are provided. A method of generating a video packet includes generating at least one pixel block including at least one reference pixel and at least one neighboring pixel adjacent to the at least one reference pixel from pixels of a video frame; replacing a pixel value of the at least one neighboring pixel in the at least one pixel block with a pixel difference value, which is a difference value between a pixel value of a pixel adjacent to the at least one neighboring pixel and the pixel value of the at least one neighboring pixel; and generating packets so that a pixel value of the at least one reference pixel and the pixel difference value of the at least one neighboring pixel are allocated to different packets according to positions of the pixels.

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Seoul, South Korea

Dai-woong Choi