65 results about "Dual tree" patented technology

The invention discloses a wavelet domain audio zero watermark algorithm based on dual-tree complex wavelet transform (DTCWT), variational mode decomposition (VMD) and discrete cosine transform (DCT). Firstly, encryption protection is carried out on a watermark image, then framing is carried out on an original audio signal, dual-tree complex wavelet transform (DTCWT) and variational mode decomposition (VMD) are carried out on each frame, a first IMF is taken to carry out DCT, and a feature vector is obtained. And finally, carrying out XOR operation on the polarity feature vector and the scrambled watermark to obtain a zero watermark key. Experiments show that the method can effectively resist conventional attacks, and especially has good robustness to noise attacks.

The invention discloses a vacuum arc-extinguishing chamber contact surface condition evaluation method and system, and belongs to the technical field of vacuum circuit breakers. According to the method, short-time Fourier transform noise reduction is improved by adopting an adaptive window length, signals are enhanced in combination with dual-tree complex wavelet transform, and data are dynamically normalized by improving K-means clustering; according to the constructed lightweight CRNN model, residual connection and an SE module are introduced into a convolution module, and a bidirectional quasi-recurrent neural network is adopted by a circulation module to capture time sequence features; the mixed loss function is combined with an AdamW optimizer, and the convergence stability is improved through L2 regularization; and dynamically evaluating the ablation degree of the contact based on a fuzzy logic algorithm. According to the method, through time-frequency feature fusion and lightweight network design, high-precision classification of direct-current pre-breakdown waveforms is realized, the problems of degradation, over-fitting and slow convergence of a traditional model are solved, and an intelligent solution is provided for vacuum arc-extinguishing chamber insulation performance evaluation.

The invention discloses a signal processing method and device for a wind measurement laser radar, and the method comprises the steps: carrying out the windowing interception of an original laser echo signal, and obtaining an intercepted signal; performing dual-tree complex wavelet decomposition transformation on the intercepted signal to obtain each level of approximation wavelet and each level of detail wavelet; performing correlation operation and soft threshold filtering on each level of detail wavelet to obtain a corrected detail wavelet; combining the highest-level approximation wavelet with the corrected detail wavelet to obtain a preliminary noise reduction signal; performing Bayesian maximum posteriori estimation filtering on the preliminary noise reduction signal to obtain a final noise reduction signal; performing dual-tree complex wavelet inverse transformation on the final noise reduction signal to obtain a noise reduction time domain signal; performing fast Fourier transform on the denoised time domain signal to obtain a frequency domain signal; and performing frequency spectrum correction on the frequency domain signal, and then extracting to obtain Doppler frequency. According to the invention, noise filtering of the signals of the wind measurement laser radar is realized, and the Doppler frequency extraction accuracy is improved.

Interaction may occur between adaptive dual tree and intra-block copy (IBC). For example, an encoder / decoder may obtain a video block in a slice. An inter prediction may be enabled for the slice. The device may determine a prediction mode that is to be used to encode a video block in the slice. The device may, e.g., based on a determination that the prediction mode is IBC, determine whether a dual tree mode or a single tree mode is to be used to encode the video block. The device may encode / decode the video block based on the determination of whether the dual tree mode or the single tree mode is to be used to encode / decode the video block.

The invention discloses a vector binary condition Weibull distribution-based digital watermark detection method, which comprises the following steps of: combining non-sampling dual-tree complex wavelet transform with a fast and accurate Chebyshev Fourier moment to obtain a stable UDTCWT-FACHFMs amplitude domain, selecting an accurate moment in the amplitude domain as an embedding position of a watermark, and then, carrying out binary condition Weibull distribution on the basis of the vector binary condition Weibull distribution. Embedding the watermark into a UDTCWT-FACHFMs amplitude domain by using a multiplicative embedding method, then carrying out inverse transformation to obtain a watermark-containing image, and completing the embedding work of the watermark; according to the statistical property of the amplitude coefficient, selecting relatively appropriate binary condition Weber distribution to perform statistical modeling, further deducing the binary condition Weber distribution into a vector form, and performing parameter estimation by using a probability weighted moment method based on power density to obtain an accurate parameter estimator; and finally, in combination with a local optimal decision criterion, a new statistical watermark detector based on vector binary condition Weber distribution is developed, and the embedded watermark information can be accurately detected according to a threshold.

An example device includes a memory and one or more processors. The one or more processors are configured to determine whether to use single-tree coding for a first codec tree unit (CTU), determine a first transform unit (TU) based on a first luma sample transform block (TB) and first two corresponding chroma sample TBs based on the first CTU using the single-tree coding. The one or more processors are further configured to determine whether to use dual-tree coding for a second CTU, determine a second TU based on (I) a second luma sample TB or (II) a second set of two chroma sample TBs based on the second CTU using the dual-tree coding. The first TU includes a syntax structure for transforming the first TB samples, and the second TU includes a syntax structure for transforming the second TB samples.

An electronic device performs a method of decoding video data. The method comprises: receiving, from the bitstream, a plurality of syntax elements associated with an encoding unit, wherein the plurality of syntax elements indicates the encoding tree type of the encoding unit and whether local dual-tree mode is enabled for the encoding unit; and, based on the determination that the encoding tree type of the encoding unit is single-tree and that local dual-tree mode is enabled for the encoding unit; disabling palette mode for the encoding unit when the encoding unit is equal to or smaller than a predetermined threshold.In some modes, disabling palette mode for the encoding unit includes: disabling palette mode for both the luma and chroma components of the encoding unit, or disabling palette mode only for the chroma component of the encoding unit.

The present invention discloses a method and system for evaluating the surface condition of contacts of a vacuum interrupter, which belongs to the technical field of vacuum circuit breakers. The method uses adaptive window length to improve short-time Fourier transform for noise reduction, combines dual-tree complex wavelet transform to enhance signals, and dynamically normalizes data through improved K-means clustering; a lightweight CRNN model is constructed, the convolution module introduces residual connection and SE module, and the recurrent module uses a bidirectional quasi-recurrent neural network to capture time series features; the hybrid loss function is combined with the AdamW optimizer to improve the convergence stability through L2 regularization; and the degree of contact ablation is dynamically evaluated based on a fuzzy logic algorithm. The method achieves high-precision classification of DC pre-breakdown waveforms through time-frequency feature fusion and lightweight network design, solves the problems of traditional model degradation, overfitting and slow convergence, and provides an intelligent solution for the insulation performance evaluation of vacuum interrupters.

A method for decoding the video bit stream includes receiving the video bit stream associated with a coding tree unit (CTU) including a coding unit (CU) at a k-th depth node, identifying a first syntax element from the video bit stream, identifying a second syntax element from the video bit stream, and configuring the video decoder based on these two syntax elements, and decoding the CTU to generate the video data. The CU includes a plurality of coding blocks (CBs). The first syntax element indicates if a CU at a (k+1) th depth node is to be further split by using a dual-tree partitioning method. The second syntax element indicates that a first CB of the CU at the (k+1) th depth node is to be further split and a second CB of the CU at the (k+1) th depth node is not to be further split.

The application discloses a virtual viewpoint image quality evaluation method and system based on double-tree complex wavelet transform. The method comprises the following steps: using an algorithm to perform feature matching on a reference image; performing multi-scale double-tree complex wavelet transform on the matched reference image and a virtual viewpoint image for multiple times to obtain a first wavelet subband set corresponding to the matched reference image and a second wavelet subband set corresponding to the virtual viewpoint image; calculating gradient amplitude similarity between third-level wavelet subbands of the first wavelet subband set and the second wavelet subband set, and using the gradient amplitude similarity to calculate a texture distortion score of the virtual viewpoint image; calculating structural similarity between fifth-level wavelet subbands of the first wavelet subband set and the second wavelet subband set, and using the structural similarity to calculate a structure distortion score of the virtual viewpoint image; and calculating a quality score of the virtual viewpoint image according to the texture distortion score and the structure distortion score. The application can accurately evaluate the quality of the virtual viewpoint image.

The present invention discloses a method, apparatus and storage medium for detecting metal surface defects. The method includes: obtaining a defect synthesis image according to a normal sample image; performing dual-tree complex wavelet transform on the defect synthesis image to transform the image features from the pixel domain to the wavelet domain, obtaining a low-frequency component and high-frequency components of multiple scales; modifying the obtained low-frequency component and high-frequency components, and performing inverse dual-tree complex wavelet transform to obtain a reconstructed image; training an image prediction model by using the defect synthesis image and the reconstructed image; obtaining an image to be detected, inputting the image to be detected into the trained image prediction model, and outputting a detection result. The present invention does not need to collect real defect samples, and only needs normal samples to have good defect detection and positioning capabilities, and can be widely used for automatic online detection of metal surfaces with a certain metallic luster. The present invention can be widely applied to the technical field of metal surface defect detection.

To provide methods and apparatuses for video encoding / decoding.SOLUTION: An apparatus for video decoding includes receiving circuitry and processing circuitry. The processing circuitry decodes prediction information of a block from a coded video bitstream, determines whether to allow a palette based coding mode for the block based on a comparison of a size of the block with a threshold, determines whether the block is under a local dual tree structure based on the prediction information, and decodes the block based on the determination of whether to allow the palette based coding mode for the block and the determination of whether the block is under the local dual tree structure.SELECTED DRAWING: Figure 11

The invention provides a dual-tree collaborative HS coding intelligent matching method and device. The method comprises the steps of performing standardization processing on commodity information, and based on the standardized commodity information and structured attribute information, retrieving from a preset HS knowledge base to generate a candidate HS code set; performing branch constraint on the candidate HS code set according to the annotation rule data to obtain at least one compliance candidate subset and a corresponding discrimination attribute missing set; for the compliance candidate subsets, calling a data-driven decision tree to score and sort candidate HS codes in the compliance candidate subsets to obtain at least one target HS code and confidence; and when the confidence coefficient is lower than a preset threshold value and the judgment attribute missing set is non-null, generating supplementary inquiry information for distinguishing candidate HS codes in the compliance candidate subset based on split judgment information of the data-driven decision tree on the compliance candidate subset. According to the method, the HS code matching accuracy can be improved, the compliance interpretability is enhanced, and the manual completion cost is reduced.

Adaptive dual tree coding may be optimized, for example, to implement a trade-off between compression efficiency and encoder complexity. For example, adaptive dual tree / single tree representation in inter slices may be conditioned on characteristics of the slice / picture, e.g., slice type, temporal layer id, and / or temporal depth of the slice being coded / decoded. Use of block-vector guided convolutional cross-component model (BVG-CCCM) may be conditioned on disabling adaptive dual tree and / or characteristics of the slice being encoded / decoded. Use of multi-type tree (MTT) split modes early termination may be conditioned on disabling of adaptive dual tree. In examples, a device (e.g., decoder / encoder) may determine a hierarchical parameter associated with a slice. The device may determine whether to enable a dual tree mode for the slice based on the hierarchical parameter for the slice. The device may decode the slice based on the determination of whether to enable the dual tree mode for the slice.

The present invention relates to an image encoding / decoding method and device. The image decoding method according to one embodiment of the present invention comprises the steps of: determining a tree type of the current unit included in the current slice; dividing a luminance block of the current unit into sub-luminance blocks on the basis of the tree type; and dividing a chrominance block of the current unit into sub-chrominance blocks on the basis of the tree type, wherein the tree type of the current unit is determined as either a single tree or a dual tree, and the current slice is one from among an I slice, a B slice and a P slice.

Disclosed herein are systems, methods, and instrumentalities associated with dual tree coding modes and chroma intra prediction modes reordering. A video coding device as described herein may determine whether a chroma video block is located in an intra-coded region of an inter-coded video slice. Based at least on a determination that the chroma video block is located in the intra-coded region of the video slice and a further determination that a dual tree partition mode is enabled for the intra-coded region, the video coding device may be further configured to determine a plurality of intra prediction modes for the chroma video block, calculate, for each of plurality of intra prediction modes, a respective combined cost associated with predicting the chroma video block and a luma video block co-located with the chroma video block using the intra prediction mode, and reorder the plurality of intra prediction modes based on the respective combined cost calculated for each of the plurality of intra prediction modes. The video coding device may then code the chroma video block based on the reordering of the plurality of intra prediction modes.

The invention discloses a dual-tree genetic programming method for processing a long-tail image classification problem, and the method comprises the following steps: constructing a dual-tree genetic programming individual which comprises a data enhancement tree and a feature extraction tree; setting a staged sampler; performing a multi-generation evolution process, wherein each generation comprises population initialization, individual fitness evaluation, selection, crossover and mutation operation; after the evolution is finished, outputting a dual-tree individual with the highest fitness as a final classification model for classifying a new image; the method is simple and efficient in model deployment and has practical value.

A video decoding device may determine an inverse transform for an intra chroma block based on dual tree usage associated with the intra chroma block. An inverse transform may be performed for the intra chroma block based on the determined inverse transform. The video coding device may enable a non-separable transform for the intra chroma block if the intra chroma block belongs to a region in local dual-tree mode. The inverse transform may be determined based on the non-separable transform being enabled. A video encoding device may determine to use local dual-tree mode in a region. The device may, for a chroma block in the region, evaluate a non-separable transform. The device may select a transform based on the evaluation. The device may perform transformation on the chroma block based on the selected transform. The non-separable transform may be a low-frequency non-separable transform (LFNST) or a non-separable primary transform (NSPT).

The invention relates to a transformation-based image coding method and an apparatus therefor. An image decoding method according to the present document comprises the steps of: applying LFNST to transform coefficients to derive modified transform coefficients; deriving a residual sample of the target block based on an inverse primary transform for the modified transform coefficient; and generating a reconstructed picture based on the residual sample, in which the step of deriving the modified transform coefficient can comprise the steps of parsing the LFNST index for dual-tree chroma based on the current block tree type, and deriving the modified transform coefficient based on the LFNST index and the LFNST matrix.

The present invention relates to a ground-penetrating radar signal denoising method that combines two-dimensional VMD with DT-CWT. The method first performs one-dimensional VMD on the original two-dimensional ground-penetrating radar noisy data in the time dimension, removes the intrinsic modal components corresponding to the noise according to corresponding judgment criteria, and then reconstructs the data. The reconstructed data is then subjected to one-dimensional VMD in the spatial dimension, and the intrinsic modal components corresponding to the noise are removed and then reconstructed. The reconstructed data after the two-dimensional VMD denoising process is subjected to a discrete dual-tree complex wavelet transform, and a corresponding threshold formula is selected for threshold denoising. The data is then reconstructed by inverse dual-tree complex wavelet transform to obtain the denoised data. This method takes into account the noise distribution of the data in the spatial dimension, performs two-dimensional VMD denoising on the original noisy data, and effectively improves the data signal-to-noise ratio. At the same time, to further improve the data signal-to-noise ratio, a dual-tree complex wavelet transform that can achieve precise reconstruction is used to perform secondary denoising on the data.

The invention discloses a digital watermarking method based on generalized multivariate gamma distribution, and the method comprises the steps: 1, carrying out the three-stage non-sampling dual-tree complex wavelet transformation of a host image, carrying out the subtraction of a real part coefficient and an imaginary part coefficient in the same direction at a third scale, calculating a difference value, and selecting a sub-band with the maximum energy as a target difference value sub-band, thirdly, carrying out third-order moment transformation on the target difference value sub-band by using an accurate pseudo Jacobi-Fourier moment to obtain a UDTCWT Difference + APJFMs amplitude domain as a watermark carrier, and carrying out third-order moment transformation on the target difference value sub-band by using the UDTCWT Difference + APJFMs amplitude domain as a watermark carrier; secondly, embedding the watermark into a selected area by utilizing a multiplicative embedding rule; thirdly, selecting a three-scale target difference value sub-band and a two-scale corresponding difference value sub-band for modeling, deriving corresponding parameters, and performing accurate estimation on shape and position parameters by adopting a low-complexity expectation maximization algorithm; and 4, designing a global optimal decoder according to an ML criterion, and extracting a watermark bit according to a decision threshold. Results of a large number of repeated experiments prove that the method has good decoding performance.

The present invention relates to an image encoding / decoding method and device. The image decoding method according to one embodiment of the present invention comprises the steps of: deriving block division permission information about the current block; deriving context information of a multi-type tree division flag on the basis of the block division permission information; deriving a value of the multi-type tree division flag of the current block on the basis of the derived context information; and dividing the current block on the basis of the multi-type tree division flag, wherein, if the tree type of the current block is a dual tree, the block division permission information is derived according to a color component of the current block, and, here, the context information of the multi-type tree division flag can be derived on the basis of block division permission information derived according to the color component.

The application belongs to the technical field of computer vision and computer graphics, and discloses a multi-view three-dimensional reconstruction method based on cross-domain feature fusion, equipment and medium, the method comprises the following steps: cross-feature domain coding is carried out on the initial feature token generated by multi-angle images, the coding decomposes the feature into low-frequency and high-frequency components through dual-tree complex wavelet transform, and the amplitude modulation is carried out on the high-frequency component to enhance the details, and the space-frequency fusion feature is generated; the space-frequency fusion features of the multi-angle are weighted and merged through variance embedding, the weight is generated by calculating the variance of each feature token, and adaptive weighted clustering is carried out based on the weight to generate the fused multi-angle feature; three-source attention decoding is carried out on the fused feature, the static embedding is taken as the query, the space-frequency fusion feature is taken as the key, and the fused multi-angle feature is taken as the value, cross-domain attention calculation and up-sampling are carried out, and finally the three-dimensional voxel reconstruction result of the target object is generated.

The invention discloses a robot machining chatter monitoring method and system, and relates to the technical field of machining process monitoring, and the method comprises the steps: obtaining a vibration signal of a historical machining process, and carrying out the filtering of the vibration signal, and obtaining a filtering signal; respectively calculating a weighted cumulative spectrum distribution entropy and a dual-tree complex wavelet packet energy entropy of the filtering signal so as to form a feature data set; training a support vector machine model according to the feature data set, and identifying the processing state type of the to-be-detected vibration signal by adopting the trained support vector machine model; performing frequency estimation on the to-be-measured vibration signal of the flutter type, and respectively extracting a regeneration flutter frequency, a modal coupling flutter frequency and respective corresponding amplitudes; various flutter types occurring in the milling process of the robot are effectively distinguished, and the flutter frequency is accurately estimated.

Methods, systems and apparatus for video processing are described. One example video processing method includes performing a conversion between a video comprising a video block and a bitstream of the video according to a rule, wherein the video block is a coding tree node that includes one or more coding units, and wherein the rule specifies that a coded information of the video block is indicative of whether a coding mode is enabled for the one or more coding units of the video block.

The present invention discloses an OBN data denoising method and related device. The method comprises: performing a dual-tree complex wavelet transform on the P component data and the Z component data respectively; matching the amplitude spectrum of the Z component data according to the maximum amplitude of the amplitude spectrum of the P component data to obtain the amplitude spectrum amplitude value of the Z component data that matches the P component; calculating the amplitude spectrum of the Z component data after amplitude matching; calculating the amplitude matching coefficient according to the amplitude spectrum of the Z component data after amplitude matching; calculating the complex wavelet coefficient of the Z component data after amplitude matching according to the amplitude matching coefficient; performing a dual-tree complex wavelet inverse transform on the complex wavelet coefficient of the Z component data after amplitude matching to obtain the denoised Z component data. The present invention can significantly suppress Vz noise in the Z component data, and the signal-to-noise ratio of the denoised Z component gather data and stacked profile is significantly improved.

A compressed bitstream is received. A first syntax element is decoded from the compressed bitstream, indicating whether a luma block and a chroma block associated with a coding unit are to be split using a single tree or a dual tree. The single tree refers to a partitioning structure where the luma block and the chroma block have the same partitioning, and the dual tree refers to a partitioning structure where the luma block and the chroma block have different partitionings. Based on the first syntax element, the luma block and the chroma block are split.

A video signal processing method and device for encoding or decoding a video signal are disclosed. The video signal processing method comprises the steps of: identifying a tree type of a current chroma block; deriving a chroma intra prediction mode of the current chroma block on the basis of a luma intra prediction mode at a preset position if the tree type of the current chroma block is a dual tree; generating a prediction block of the current chroma block on the basis of the chroma intra prediction mode; and restoring the current chroma block by adding a residual block of the current chroma block to a prediction block, wherein the luma intra prediction mode can be set to a preset mode if the luma prediction mode at the preset position is an intra block copy mode.

To provide methods and apparatus for video encoding / decoding.SOLUTION: An apparatus for video decoding includes receiving circuitry and processing circuitry, wherein the processing circuitry decodes prediction information of a block from a coded video bitstream, determines whether to allow a palette-based coding mode for the block based on a comparison of a size of the block and thresholds, determines whether the block is under local dual tree structure based on the prediction information, and decodes the block based on the determination of whether to allow the palette-based coding mode for the block and the determination of whether the block is under local dual tree structure.SELECTED DRAWING: Figure 11