The described embodiments relate to methods and systems for detecting the blockiness of a video signal comprised of a number of pixels. The method includes the steps of determining if the pixel forms a part of at least one visible horizontal transition along a macroblock border, at least one visible vertical transition along a macroblock border, at least one flat area or at least one flat macroblock; calculating a horizontal border transitions count, a vertical border transitions count, a flat area count and a macroblock flat area count; and generating at least one blockiness indicator for the region of interest selected from the group consisting of a block border indicator, a flat area indicator and a flat block indicator, wherein the at least one blockiness indicator is based on at least one of the horizontal border transitions count, the vertical border transitions count, the flat area count and the macroblock flat area count.

A particular implementation decomposes an image into a structure component and a texture component. An edge strength map is calculated for the structure component, and a texture strength map is calculated for the texture component. Using the edge strength and the texture strength, texture masking weights are calculated. The stronger the texture strength is, or the weaker the edge strength is, the more distortion can be tolerated by human eyes, and thus, the smaller the texture masking weight is. The local distortions are then weighted by the texture masking weights to generate an overall distortion level or an overall quality metric.

A method of decoding video, the method including receiving and parsing a bitstream which includes encoded video; extracting encoded image data relating to a current picture, which image data is assigned to at least one maximum coding unit, information relating to a coded depth and an encoding mode for each of the at least one maximum coding unit, and filter coefficient information for performing loop filtering on the current picture, from the bitstream; decoding the encoded image data in units of the at least one maximum coding unit, based on the information relating to the coded depth and the encoding mode for each of the at least one maximum coding unit; and performing deblocking on the decoded image data relating to the current picture, and performing loop filtering on the deblocked data, based on continuous one-dimensional (1D) filtering.

When removing a block distortion occurring in a local decoded image, a loop filtering part 11 of an image coding device carries out a filtering process on each of signal components (a luminance signal component and color difference signal components) after setting the intensity of a filter for removing the block distortion for each of the signal components according to a coding mode (an intra coding mode or an inter coding mode) selected by a coding controlling part 1.

The present disclosure relates to deblocking filtering, which may be advantageously applied for block-wise encoding and decoding of images or video signals. In particular, the present disclosure relates to an improved memory management in an automated decision on whether to apply or skip deblocking filtering for a block and to selection of the deblocking filter. The decision is performed on the basis of a segmentation of blocks in such a manner that memory usage is optimized. Preferably, the selection of appropriate deblocking filters is improved so as to reduce computational expense.

Provided are methods and apparatuses for encoding and decoding a motion vector including a method of decoding that includes obtaining a current coding unit hierarchically split from a maximum coding unit according to a current depth, obtaining a prediction mode information of a current prediction unit in the current coding unit from bitstream, when a prediction mode of the current prediction unit is inter-prediction mode, determining motion vector predictor candidates from among motion vectors of neighboring prediction units adjacent to the current prediction unit, and determining a motion vector predictor of the current prediction unit from among the motion vector predictor candidates, wherein the neighboring prediction unit comprises a first block directly to the left side of a leftmost block among blocks located directly to a bottom side of the current prediction unit and a second block located directly to a upper side of the first block.

The present disclosure provides a video decoding apparatus including at least a decoder configured to decode information on a size of a current block from encoded data, transform information, an inverse transformer configured to reconstruct a residual block of the current block by inversely transforming the transform coefficients in units of the size of each of the transform blocks, a predictor configured to generate a predicted block by using an inter-prediction, an adder configured to reconstruct the current block by adding the residual block to the predicted block, and a filter configured to identify transform boundaries between the transform blocks in the reconstructed current block by using the size of each of the transform blocks determined based on both the size of the current block and the information on the transform type, and then perform deblocking-filtering on at least part of the transform boundaries.

An image processing apparatus that includes a dummy region adding section configured to add a dummy region to an end part of image data and a dividing position determining section configured to randomly determine a dividing position at which the image data is divided into a plurality of pieces of rectangular image data having the same shape. The image processing apparatus also includes a dividing section configured to divide the image data into the plurality of pieces of rectangular image data based on the dividing position determined by the dividing position determining section and a compressing section configured to compress the plurality of pieces of rectangular image data obtained through a dividing operation of the dividing section.

A portion Y of a degraded frame is restored using a projection operation that uses a first projection parameter , a second projection parameter , and at least two guide portions. Restoring the portion Y of the degraded frame includes generating, using first restoration parameters, a first guide portion Y.sub.1 for the portion Y; generating, using second restoration parameters, a second guide portion Y.sub.2 for the portion Y; and generating a reconstructed portion Y.sub.R, wherein the projection operation is based on (Y.sub.1Y)+(Y.sub.2Y).

The present disclosure relates to deblocking filtering, which may be advantageously applied for block-wise encoding and decoding of images or video signals. In particular, the present disclosure relates to an improved memory management in an automated decision on whether to apply or skip deblocking filtering for a block and to selection of the deblocking filter. The decision is performed on the basis of a segmentation of blocks in such a manner that memory usage is optimized. Preferably, the selection of appropriate deblocking filters is improved so as to reduce computational expense.