Abstract: A method includes: calculating a pixel statistical value and edge of pixels for each of areas of a multi-layer, the areas each containing a target pixel and having a successively decreased range; correcting the edge based on a pixel statistical value of an area that is wider than an area of a specific layer; correcting difference between a pixel statistical value of the specific layer and the pixel statistical value of a layer that is wider than the specific layer using the post-correction edge; correcting the pixel statistical value of the specific layer using post-correction difference and the pixel statistical value of the layer that is wider than the specific layer; and correcting the target pixel by repeating correction of the pixel statistical value successively in each layer until the area reduces its range from the maximum range to the minimum range.

Abstract: The present invention is a method including: correcting difference between a pixel statistical value of a specific layer and a pixel statistical value of a layer that is wider than the specific layer using an edge information of a layer that is wider than the specific layer; correcting the pixel statistical value of the specific layer using post-correction difference and the pixel statistical value of layer that is wider than the specific layer; recorrecting the post-correction pixel statistical value of the specific layer using difference between a pre-correction pixel statistical value of the specific layer and the post-correction pixel statistical value of the specific layer and the edge information of a layer that is wider than the specific layer; and correcting the target pixel by repeating correction and recorrection until the layer reduces its range from the maximum range to the minimum range.

Abstract: A method includes: calculating a pixel statistical value and edge of pixels for each of areas of a multi-layer, the areas each containing a target pixel and having a successively decreased range; correcting the edge based on a pixel statistical value of an area that is wider than an area of a specific layer; correcting difference between a pixel statistical value of the specific layer and the pixel statistical value of a layer that is wider than the specific layer using the post-correction edge; correcting the pixel statistical value of the specific layer using post-correction difference and the pixel statistical value of the layer that is wider than the specific layer; and correcting the target pixel by repeating correction of the pixel statistical value successively in each layer until the area reduces its range from the maximum range to the minimum range.

Abstract: Disclosed is an image processing method including: generating an initial denoised image with a reduced noise while preserving an edge in an input image; controlling an iterative operation performed based on energy defined in advance based on an initial residual component calculated from the input image and the initial denoised image; and separating the initial denoised image to a skeleton component and a residual component by the controlled iterative operation to generate the skeleton component as an output image.

Abstract: The method includes: calculating a pixel statistical value and edge of pixels for each of areas of a multi-layer, the areas each containing a target pixel and having a successively decreased range; correcting the edge based on a pixel statistical value of an area that is wider than a specific area; correcting difference between a pixel statistical value of the specific area and the pixel statistical value of the area that is wider than the specific area using the post-correction edge; correcting the pixel statistical value of the specific area using post-correction difference and the pixel statistical value of the area that is wider than the specific area; and correcting the target pixel by repeating correction of the pixel statistical value of the specific area successively in each area until the area reduces its range from the maximum range to the minimum range.

Abstract: A video encoding device for encoding video using inter prediction includes encoding control means 11 for controlling an inter-PU partition type of a CU to be encoded, based on a minimum inter-PU size (PA) and a CU size (PB) of the CU to be encoded. A video decoding device includes decoding control means for controlling an inter-PU partition of a CU to be decoded, based on the minimum inter-PU size (PA) and the size (PB) of the CU to be decoded.

Abstract: A video encoding device includes encoding control means 11 for controlling an inter-PU partition type of a CU to be encoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of an encoded image block contained in the image block having the predetermined area. A video decoding device includes decoding control means for controlling an inter-PU partition type of a CU to be decoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of a decoded image block contained in the image block having the predetermined area.

Abstract: In order to increase the encoding efficiency of a quantization step size, this video encoding device comprises a quantization step size encoding unit for encoding a quantization step size that controls the granularity of quantization. The quantization step size encoding unit includes a step size prediction unit for predicting the quantization step size using quantization step size information assigned to an already-encoded nearby image block, and using in-frame prediction direction information about an image block that is to be encoded.

Abstract: A video encoding device includes a planar prediction unit using planar prediction, and a noise injecting unit for injecting pseudo-random noise into a prediction image of a planar prediction block when a reconstructed prediction error value for planar prediction is less than a threshold determined by the size of the planar prediction block. The video encoding device then uses the pseudo-random noise in linear interpolation for calculating the prediction image, based on the conditions under which a gradient distortion occurs, to suppress the gradient distortion.

Abstract: A video encoding device includes: transform means 11 for transforming an image block; entropy encoding means 12 for entropy-encoding transformed data of the image block transformed by the transform means 11; PCM encoding means 13 for PCM-encoding the image block; multiplex data selection means 14 for selecting output data of the entropy encoding means 12 or the PCM encoding means 13, in a block of a block size set from the outside; and multiplexing means 15 for embedding a PCM header in a bitstream, in the block of the set from the outside block size.

Abstract: The present invention is a video encoding device having: video encoder for encoding an inputted video on the basis of a prediction; reference picture compressor for compressing a reference picture used for the prediction; storage for storing the compressed reference picture; reference picture decompressor for decompressing the compressed reference picture stored in the storage; compression and decompression controller for controlling the reference picture compressor and the reference picture decompressor on the basis of predetermined control information; quantized information encoder for encoding a portion of the control information of the compression and decompression control means by means of a predetermined method and for generating a quantized information bitstream; and multiplexer for multiplexing the video bitstream from the video encoder, at least a portion of the control information excluding the portion that was encoded by means of the quantized information encoder, and the quantized information bits

Abstract: In the present invention, reconstructed images for prediction are stored in uncompressed reference picture memory and compressed reference picture memory. A video decoder stores in uncompressed reference picture memory a reconstructed image of a frame to be decoded which has been generated on the basis of a prediction, and among reconstructed images which have been stored in the uncompressed reference picture memory, compresses a reconstructed image that will not be used for prediction of the frame to be decoded and stores the image in the compressed reference picture memory. Using the reconstructed images which are stored in the uncompressed reference picture memory and the compressed reference picture memory, the video bitstream is decoded into a video.

Abstract: When injecting pseudo random noise to an area centered on a block boundary, a video encoding device and a video decoding device prevent injection of pseudo random noise to an area including a reference image for subsequent planar mode filtering, in order to suppress linear artifacts. The video encoding device includes: an inverse quantization unit for inverse-quantizing a quantization index to obtain a quantization representative value; an inverse frequency transform unit for inverse-transforming the quantization representative value obtained by the inverse quantization unit, to obtain a reconstructed image block; and an adaptive distortion removal filter unit for injecting pseudo random noise to an area centered on a boundary of the reconstructed image block, wherein the adaptive distortion removal filter unit does not inject pseudo random noise to an area including a reference image for planar mode filtering.

Abstract: A video encoding device and a video decoding device prevent an increase in the number of lines of a reference line buffer in a pseudo random noise injection process. The video encoding device includes: an inverse quantization unit for inverse-quantizing a quantization index to obtain a quantization representative value; an inverse frequency transform unit for inverse-transforming the quantization representative value obtained by the inverse quantization unit, to obtain a reconstructed image block; and an asymmetrical distortion removal filter unit for injecting pseudo random noise to an area asymmetrical about a boundary of the reconstructed image block.

Abstract: To efficiently reduce contour and stair-step artifacts. A video encoding device includes an inverse quantization means for inversely quantizing a quantization index to obtain a quantization representative value, an inverse frequency transformation means for inversely converting the quantization representative value obtained by the inverse quantization means to obtain a reconstructed image block, and a noise inject means for determining a pseudorandom noise injecting position based on information on extension of the reconstructed image block and injecting a pseudorandom noise into an image at the pseudorandom noise injecting position.

Abstract: A video encoding device includes: pixel bit length increasing means for increasing a pixel bit length of an input image based on pixel bit length increase information; transform means for transforming output data of the pixel bit length increasing means; entropy encoding means for entropy-encoding output data of the transform means; non-compression encoding means for non-compression-encoding input data; multiplexed data selection means for selecting output data of the entropy encoding means or output data of the non-compression encoding means; and multiplexing means for multiplexing the pixel bit length increase information in a bitstream, wherein a pixel bit length of an image corresponding to the output data of the entropy encoding means and a pixel bit length of an image corresponding to the output data of the non-compression encoding means are different from each other.

Abstract: To efficiently reduce contour and stair-step artifacts. A video encoding device includes a reconstruction means for adding an intra prediction signal or an inter-frame prediction signal to a reconstructed predictive error image block obtained by an inverse frequency transformation means to obtain a reconstructed image block, a noise inject means for injecting a pseudorandom noise into a reconstructed image picture, a Wiener filter means for applying a Wiener filter to the reconstructed image picture with a pseudorandom noise injected, and a reference image storage means for storing the reconstructed image picture to which the Wiener filter is applied as a reference image picture for inter-frame prediction.