104 results about "Boundary strength" patented technology

A method of simplifying deblock filtering of video blocks of an enhanced layer of scalable video information is disclosed which includes selecting an adjacent pair of video blocks, determining whether boundary strength of the video blocks is a first value, evaluating first conditions using component values of a first component line if the boundary strength is not the first value, and bypassing deblock filtering between the video blocks if the boundary strength is the first value or if any of the first conditions is false. The method may include bypassing evaluating conditions and deblock filtering associated with the maximum boundary strength. The method may include bypassing evaluating second conditions and bypassing corresponding deblock filtering if the intermediate edge is a horizontal edge. The method may include bypassing less efficient memory reads associated with component values used for evaluating the second conditions.

A video encoding / decoding apparatus, a deblocking filter and filtering method based on intra-prediction directions for same, and recording media are disclosed, and the deblocking filter includes: a boundary strength determiner for determining strength of boundary of current block; an intra-block identifier for confirming intra-block identity of a subblock enclosing first pixel at a certain location with reference to the boundary; an intra-prediction direction identifier for identifying an intra-prediction direction of the subblock if the subblock is identified as an intra-block; a filtering pixel selection unit for selecting pixels for filtering based on the first pixel and the identified intra-prediction direction; and a filtering unit for filtering in horizontal direction, vertical direction, or diagonal direction depending on the intra-prediction direction and relationships between pixel values of the selected pixels to eliminate deblocking artifacts within diagonal edges at a boundary between blocks by deblocking filtering in the intra-prediction direction.

The invention provides a process for preparing biocompatible directional carbon nanotube array reinforced composite hydrogel, which utilizes the chemical vapor deposition (CVD) technique, the radial cross linking technique and a freezing and thawing method. By permeating polymer sol into a carbon nanotube prefabricated body, aggregating and tangling problems during a compounding process of the carbon nanotube and polymer are resolved, boundary strength of a reinforcing phase and a basis phase is increased, and excellent performances of the nanotube on mechanics and electricity are played sufficiently. The composite hydrogel prepared by utilizing a physical cross linking process does not contain chemical additives and meets requirements on biocompatibility. The composite hydrogel prepared by the process has controllable length and direction of the reinforcing phase of a nanotube array, has integrated mechanics and electricity performances superior to those of the conventional hydrogel,and is adoptive to be applied to the biomedical field such as artificial articular cartilages, tissues engineering supports, nerve cell carries, biomimetic implanted electrode and the like.

The embodiment of the invention discloses a method of obtaining plate boundary filtering strength; the method comprises: ensuring the similar threshold value, utilizing the similar threshold value to calculate the area flatness; ensuring the filtering strength initial value of the plate boundary according to the area flatness interval of the area flatness; each area flatness interval corresponding to a filtering strength initial value; utilizing the head information of the block at two sides of the obtained plate boundary, adjusting the filtering strength initial value, obtaining the plate boundary filtering strength, or utilizing the head information of the block comprising type information or coding mode information, judging whether needs to filter the pixel of the block at two sides of the plate boundary; the embodiment of the invention further discloses a device for obtaining plate boundary filtering strength; the embodiment of the invention further discloses a method and device of removing the block effect; utilizing the invention is able to improve the accuracy of obtaining the plate boundary filtering strength.

A method and apparatus to enhance the quality of interpolated video, constructed from decompressed video data, comprising denoising the interpolated video data, is described. A low pass filter is used to filter the interpolated video data. In one embodiment, the level of filtering of the low pass filter is determined based on a boundary strength value determined for the interpolated video data and neighboring video data (interpolated and / or non-interpolated). In one aspect of this embodiment, the boundary strength is determined based on proximity of reference video data for the interpolated video data and the neighboring video data.

A deblocking filtering method, a boundary strength (bS) deriving method, and encoding / decoding method and apparatus using the methods are provided. The bS deriving method includes the steps of: deriving a boundary of a deblocking filtering unit block which is a unit block on which deblocking filtering is performed; and setting a bS for each bS setting unit block in the deblocking filtering unit block. Here, the step of setting the bS includes setting a bS value of a target boundary corresponding to the boundary of the deblocking filtering unit block as the bS setting unit block.

The invention relates to a flexible and extendable electronic device based on biocompatible films and a manufacturing method, and belongs to the technical field of flexible and extendable electronic devices. The flexible and extendable electronic device is technically characterized in that the biocompatible films are used as an encapsulation layer and a substrate layer of the flexible and extendable electronic device, a bonding layer used for enhancing the boundary strength between the encapsulation layer and a functional layer can be further arranged between the encapsulation layer and the functional layer, and an adhesive layer used for enhancing the adhesive force of the device with the surface of an object to be tested is arranged underneath the substrate layer; the functional layer is of a flexible and extendable structure. In the manufacturing process of the flexible and extendable electronic device, a transfer printing technology based on a solution is mainly adopted to achieve integration of the functional layer and a flexible substrate. The flexible and extendable electronic device structurally keeps and even improves flexibility and extensibility. Meanwhile, compatibility features such as waterproofness, breathability and low allergenicity of the flexible and extendable electronic device allow the flexible and extendable electronic device to normally work on the surface of a human body for more than 24 hours without causing a foreign body feeling and discomfort, and skin soaking or rubefaction or other anaphylactic reactions caused by poor biocompatibility can be avoided.

An apparatus for calculating a boundary strength on a macroblock basis to determine a filter condition area in a deblocking filter includes a memory unit for storing a table containing a filter condition area value for a boundary strength calculation, which correspond to each of a type value of a current macroblock and a type value of a neighbor macroblock, and storing a boundary strength calculation method per filter condition area, the deblocking filter for performing the boundary strength calculation according to a filter condition area with respect to an input macroblock, and a controller for determining a filter condition area value corresponding to a type value of a current macroblock input to the deblocking filter and a type value of its neighbor macroblock using the table when the boundary strength calculation is performed with respect to the current macroblock input to the deblocking filter.

The invention discloses a method of establishing an elastic-plastic mechanical constitutive model made of a rock material. The method comprises the following steps: measuring and recording variation values of axial and lateral strains of a rock specimen along with the stress, and calculating a volumetric strain of the rock specimen; drawing a stress-axial / lateral strain relation curve according to recorded full-course axial and lateral strain changes of the rock specimen, and respectively determining a yield failure rule and a hardening rule of the rock material of the specimen; drawing a stress-volumetric strain relation curve according to the calculated volumetric strain of the rock specimen to determine a non-relevant flow rule of the rock material of the specimen; determining the constitutive model by using a thermodynamic elastic-plastic theory in combination with the stress-strain curve, peak stress, yield initial stress and boundary strength of rock. The method disclosed by the invention comprehensively considers the yield rule, the non-relevant flow rule and the hardening rule of the rock material, favorably reflects the elastic-plastic mechanical behavior of the rock material and ensures the uniqueness and the accuracy of the constitutive model.

The invention provides a decoding method based on edge intensity factors for conducting the de-blocking filter in the video compression processing, wherein, the acquisition of edge intensity factors is finished before the acquisition of the predication macro-block data and the residual block data. The method has the advantages that the current macro-block information can be released from a memory area in advance, and the needed information for the reference to macro blocks share the information existed in other storage area, so that the on-chip memory space in the decoding device is not exclusively occupied, and the memory space is in no need of being externally connected. Therefore, the demand on the memory device is reduced, the problems, such as the delay caused by the repeated memory, and the like are reduced, and the system efficiency is improved.

A deblocking filtering technique gracefully degrades the quality of a decoded video image by selecting boundaries in each macroblock (MB) of the video image that are not to be filtered in response to a predetermined condition. The predetermined condition could be that the video image cannot be decoded by a predetermined time indicated by a time code contained in the bitstream, a manual indication by one of a user and an application, a decoder configuration having insufficient computational power to correctly decode the video image and / or a near buffer overflow condition. When a predetermined condition occurs, a coded-block-pattern parameter for each inter-coded macroblock of the bitstream is set to zero for filtering. A boundary strength is derived for each macroblock based the coded-block-pattern parameters for the macroblock. Each macroblock is filtered based on the boundary strength for the macroblock.

A method of simplifying deblock filtering of video blocks of an enhanced layer of scalable video information is disclosed which includes selecting an adjacent pair of video blocks, determining whether boundary strength of the video blocks is a first value, evaluating first conditions using component values of a first component line if the boundary strength is not the first value, and bypassing deblock filtering between the video blocks if the boundary strength is the first value or if any of the first conditions is false. The method may include bypassing evaluating conditions and deblock filtering associated with the maximum boundary strength. The method may include bypassing evaluating second conditions and bypassing corresponding deblock filtering if the intermediate edge is a horizontal edge. The method may include bypassing less efficient memory reads associated with component values used for evaluating the second conditions.

The present invention relates to method and apparatus for improving video quality. The present invention provides a unified loop filter including: a pixel determining unit which determines the type of a pixel based on boundary strength; a similarity transforming unit which transforms a nonlinear filter into a nonlinear similarity-ordered statistics filter; and an integrating unit which integrates the nonlinear similarity-ordered statistics filter with a linear image filtering portion. The unified loop filter is applicable to filter reconstructed frames when an encoder or a decoder is processing a video signal.

The invention discloses a deblocking filter method. The deblocking filter method comprises, according to the relation between the prediction modes and / or the prediction directions of neighboring coding blocks and a boundary direction, determining the boundary strength of the two coding blocks, thereby determining the boundary strength more reasonably and improving the performance of deblocking filter. According to the deblocking filter method, masking effects of brightness and directive textures on block boundaries are also taken into consideration, when the masking effects reach a certain level, the boundary strength is directly set to be zero, so that computation of the boundary strength can be simplified. The invention also discloses an adaptive loop filter method. According to the adaptive loop filter method, by means of the relevance pixel values before and after the deblocking filter, the loop filter performance can be improved.

The invention belongs to the technical field of SAR (synthetic aperture radar) image change detection, and discloses an SAR image change detection method based on a support vector machine and a discriminative random field. The SAR image change detection method based on the support vector machine and the discriminative random field includes the steps: normalizing gray values of two original time phase images, and extracting corresponding gray characteristic differences and textural characteristic differences in the processed images; forming difference characteristic vectors; extracting boundary strength of each pixel in a difference image by the aid of weighted average ratio operators; selecting training samples in the difference image, and expressing the training samples by the aid of the corresponding difference characteristic vectors to obtain initial category labels of testing samples and posterior probabilities of the category labels of the testing samples by the aid of the training support vector machine; obtaining initial support vector machine-discriminative random field models; updating the support vector machine-discriminative random field models to obtain final category labels and change detection results of the corresponding testing samples.

A method of de-blocking filtering a processed video is provided. The processed video includes a plurality of blocks and each block includes a plurality of sub-blocks. A current block of the plurality of blocks includes vertical edges and horizontal edges. The processed video further includes a set of control parameters and reconstructed pixels corresponding to the current block. A boundary strength index is estimated at the vertical edges and at the horizontal edges of the current block. The set of control parameters, the reconstructed pixels corresponding to the current block and partially filtered pixels corresponding to a set of adjacent sub-blocks are loaded. The vertical edges and the horizontal edges of the current block are filtered based on the boundary strength index and the set of control parameters such that a vertical edge of the current block is filtered before filtering at least one horizontal edge of the current block.

A method and apparatus for improved deblocking filter are disclosed. In one embodiment according to the present invention, determining the non-zero transform coefficients existence for a PU-only boundary is skipped and therefore the deblocking filter for PU-only boundary is eliminated if the condition of boundary strength equal to 1 is not fulfilled to avoid unnecessary deblocking. In another embodiment of the present invention, three gradients are determined for two pixel lines and filter ON / OFF decision is made based on the three gradient values of the two pixel lines. One aspect of the invention is related to filter strength selection between strong and weak filters. According to one embodiment, the filter strength selection is based on various gradient values of a pixel line across the block boundary. Another aspect of the invention is related to the weak filter.

The invention discloses a method for testing boundary strength between a fiber bundle and a matrix of a carbon fiber reinforced carbon material, relates to a method for testing boundary strength between a fiber bundle and a matrix of a carbon fiber reinforced carbon matrix composite material, and solves the problems that the prior testing method is easy to damage the form of the fiber bundle and is difficult to manufacture a sample. The method comprises the following steps: thinning and polishing an intercepted carbon-carbon composite material sample; fixing the sample on a horizontal displacement sample table; applying axial pressure to the fiber bundle to be tested, and recording the relation between jacked load and displacement of the fiber bundle and a maximum jacked force value of the fiber bundle to be tested during separation of the fiber bundle from the matrix; and obtaining a shear strength value of the boundary between the fiber bundle and the matrix, and an average value of the shear strengths, a standard deviation and a dispersion coefficient of the boundary between n jacked fiber bundles and the matrix of the tested sample through the maximum jacked force value of the fiber bundle to be tested and the lateral area of the fiber bundle. The method can overall evaluate the performance of the carbon-carbon composite material.

The invention relates to a method, which can quickly calculate the boundary strength value of deblocking filtering in H.264 video standards: read the encoding status of sub-blocks m, n on both sides of the filtering side, and conduct the following operations: 1). If the macro blocks that the m, n sub-blocks belong to has at least one intra-frame encoding mode, pre-determine the boundary strength value of the 16 pixel points of the whole current filtering side is 4 or 3; 2). If the m, n sub-blocks are in the same macro block, and the encoding mode of the macro block is inter-frame 16*16, 16*8 or 8*16, further determine the position and block information of the filtering side, and thereby pre-determine the boundary strength value of the 16 pixel points of the current filtering side is 0 or 1. After the pre-determining step, conduct correction based on H.264 standards, and finally get the boundary strength value BS. 3). If the m, n sub-blocks are in the same macro block, and the encoding mode of the macro block is inter-frame 8*8, 8*4, 4*8 or 4*4, using 4*4 block as the unit, calculate the boundary strength based on H.264 standards.

The present invention relates to an advantageous scheme for boundary strength derivation and decision processing related to deblocking filtering. More particularly, the present invention improves schemes for deciding deblocking and selecting appropriate deblocking filters known in the art so as to reduce the number of calculation cycles and required memory space.

The present invention relates to a deblocking filtering method, a method for inducing bs (boundary strength) therefor, and a method and an apparatus for encoding / decoding using the same. The method for inducing the bS of the present invention comprises the steps of: inducing a boundary of a deblocking filtering unit block as a unit block for applying the deblocking filtering; and setting the bS according to each bS setting unit block within the deblocking filtering unit block, wherein the bS setting step can set a bS value for a target boundary corresponding to a boundary of the deblocking filtering unit block as the bs setting unit block.

The invention relates to an automatic deblocking method based on sparse representation, comprising the following steps of: based on the concept of synergetic filtration, repeatedly taking a decoded image block by utilizing a redundancy dictionary obtaining by training; then removing a part of high-frequency information in a sparse solution domain of the image block by utilizing a zero masking technology; newly training the dictionary by utilizing an image obtained by first-time deblocking, and repeating the process until a satisfactory effect is obtained. The method utilizes the concept that multiple-time sampling is carried out in the same position of an air space for acquiring an average and specific information is removed on a dictionary domain through sparse representation. The method comprises the steps of (1) seeking blocking boundaries; (2) processing different boundaries by classification; (3) updating a dictionary D by interaction. The invention can automatically detect the boundaries with blocking effects and adopts different deblocking methods according to different boundary strengths. By utilizing the principle of sparse representation, pixel blocks are recovered by only taking limited coefficients so that false boundary information of the collected pixel block can be removed, and simultaneously the texture information of the original image block can be reserved as much as possible.

Method and apparatus for constrained de-blocking filter are disclosed. According to one method, a current block is partitioned into a plurality of sub-blocks using SDIP (Short Distance Intra Prediction mod). A first Bs (boundary strength) for an internal block boundary of the plurality of sub-blocks is determined by setting the first Bs to a second Bs of an Intra-coded boundary block of the current block. De-blocking process is applied, using the first Bs, to reconstructed samples across the internal block boundary of the plurality of sub-blocks to generate filtered-reconstructed samples. In another method, the current block is partitioned into two sub-blocks using SBT (sub-block transform) horizontally or vertically and the first Bs (boundary strength) is determined for an internal block boundary between the two sub-blocks by setting the first Bs to a second Bs of a non-zero cbf (coded block flag) block of the two sub-blocks in step.

A multi-source filter based on H.264 de-blocking includes the following units. A quantization parameter (qP) calculation unit receives an image data and calculates a qP. A boundary strength (bS) calculation unit receive the image data and calculates a bS. A block detector receives the image data and determines whether the image data falls in the block boundary. An image edge detector receives the image data and determines whether it is not belonged to an image edge region. An enabling unit receives the qP to determine whether to enable a de-blocking filtering operation. A determining unit filters the image data to output a new image data when determines that the image edge is not at the block boundary and the filtering operation is required.

A method of de-blocking an edge of a block of samples of video data is disclosed. A first prediction mode is decoded for a first block of two adjacent blocks of video data, each of the blocks of video data including a primary colour channel and at least one secondary colour channel. A second prediction mode is decoded for a second block of the two adjacent blocks of video data. A boundary strength value is determined for a block of samples along an edge corresponding to a boundary between said first block of video data and said second block of video data. A weak de-blocking filter is applied to the block of data along said edge if the determined boundary strength value indicates that the first prediction mode is intra prediction and the second prediction mode is intra-block copy prediction. Weak and strong filters are applied depending on prediction mode.

A method and a system for obtaining motion vectors and boundary strengths of an image are disclosed. The method comprises the steps of: S202, determining motion vector prediction direction information and motion vector calculation method information of a block to be decoded currently according to a type of the block to be decoded currently and a type of a macroblock / sub-macroblock in which the block to be decoded currently is located; S204, obtaining related information needed to calculate a motion vector of the block to be decoded currently using the motion vector prediction direction information according to the motion vector calculation method information; and S206, calculating the motion vector of the block to be decoded currently using the related information obtained, and calculating a boundary strength of the block to be decoded currently using the motion vector of the block to be decoded currently.