Abstract:
An image encoding/decoding method, device and recording medium based sed on multiple compression levels disclosure may include extracting a region of interest for machine vision from an input image, determining a compression level of the region of interest, and encoding the compression level of the region of interest.
Abstract:
A non-uniform super-resolution method, device, and recording medium of an image of the present disclosure may include an image separation unit which separates an input image into a high-quality region and a low-quality region based on a quality map image, an image quality conversion unit which acquires a converted high-quality region by converting image quality of the high-quality region, and a first image combination unit which combines the converted high-quality region and the low-quality region to transmit them to a super-resolution network.
Abstract:
Provided is a method of removing noise from a sparse depth map. The method includes setting, as nodes, sample points in a sparse depth map including depth information at a certain position of an image plane, constructing a mesh by connecting the set nodes, and removing noise from the meshed node, based on connection information between the meshed node and neighboring nodes adjacent thereto and color information about a color image corresponding to the sparse depth map. A depth value is allocated to each of the sample points.
Abstract:
A method of encoding and reconstructing a depth image using color image information includes segmenting a color image and a depth image corresponding to the color image into block units, selecting a position of a pixel sampling value from each block of the depth image using the color image information, and encoding the pixel sampling value of the selected position as depth information.
Abstract:
An object-based image encoding/decoding method and device of the present disclosure may include an image partition step which partitions an image to obtain a first object region, a region scaling step which scales the first object region based on a scaling factor of the first object region to obtain a second objection region, a region merging step which merges the second object region with at least one of an object region different from the second object region or a non-object region to obtain a merged image, and an image reconstruction step which reconstructs the merged image.
Abstract:
An image encoding method includes detecting at least one attention region from an original image, acquiring a reconstructed picture for the original image, generating residual data between a first attention region in the original image and a second attention region corresponding to the first attention region in the reconstructed picture, and encoding the residual data.
Abstract:
An apparatus for multi-view stereo includes: an initial dense depth map generator to generate an initial dense depth map based on color information and mesh information from a sparse depth map; and a dense depth map improver to regenerate a dense depth map from a sparse depth map where points are added to the sparse depth map.