72results about How to "Avoid block effect" patented technology

The invention provides a video coding method and a video coder. The video coding method comprises the following steps: judging whether a current frame is adapted to a current channel bandwidth; if so, judging that the current frame is not an inter domain routing protocol (IDR) frame; otherwise, judging that the current frame is an IDR frame; when the current frame is the IDR frame, selecting an optimal resolution ratio from a sampling resolution ratio and an original resolution ratio of the current frame; when the current frame is not the IDR frame, coding the current frame at the resolution ratio of a former frame. By adopting the video coding method and the video coder provided by the invention, the best resolution ratio can be selected timely according to the current channel status; the block effect caused by adopting a fixed resolution rate under a narrow band condition is avoided, and the video coding quality is improved.

The invention discloses a method for preprocessing noise reduction and block effect removal in low bit-rate video application. The method comprises the following steps: analyzing gradient by matrix eigenvalue; carrying out edge detection by a gradient analysis module; carrying out corrosion operation on a gradient map corresponding to an initial image to eliminate a gradient point generated by single noise; carrying out expansive operation to connect edges corresponding to the gradient point; performing motion detection by adopting a motion detection module to evaluate the motion area of the image; and selecting a two-sided filter with proper strength for filtration by adopting a filter strength determine module according to the code rate, gradient and motion characteristic. Two parameters of the two-sided filter are grey difference information and distance information. The method not only reduces noise, filters unimportant details for high efficient compression, avoids generation of the block effect, but also can play the effect of code rate control in certain degree.

The invention discloses a genetic evolution image rebuilding method based on a Ridgelet redundant dictionary, and the method is used for solving the problem that the image rebuilt by the existing L0 norm rebuilding technology is poor in visual effect. A rebuilding process comprises the following steps of: clustering all partitioning observation vectors according to the level of similarity by selecting a proper clustering algorithm; initiating clusters; carrying out the common genetic evolution on the initiated clusters; rebuilding an initial image; updating by means of filtering and convex projecting; judging whether evolution algebra reaches a maximum value or not; updating the sparsity; updating the clusters; carrying out the independent genetic evolution on the image blocks; and rebuilding the image. In the method, the similar clusters of the image blocks are used, and the optimal Ridgelet redundant dictionary base atom is found for each image block of each cluster by a genetic evolution computation thought, so that the time complexity of the algorithm is reduced, the blocking effect in the rebuilt image is removed by means of filtering and convex projecting, the search space of the optimal solution is shortened, the image is high in rebuilding precision, and the image is good in rebuilding effect, so that the method can be used for the fields of image processing and computer vision.

The invention discloses a Canny edge detection algorithm based on a local threshold, and the algorithm mainly comprises the following steps: 1), carrying out the smooth filtering of an image, and removing noise through Gaussian filtering; 2) calculating an image gradient amplitude and direction based on the smoothed image; 3) performing non-maximum suppression calculation on the gradient directionto obtain an edge point, if the amplitude of the gradient of the current pixel point is greater than the gradient amplitude of two adjacent pixel points in the positive and negative directions of thegradient, regarding the point as the edge point, and marking the corresponding position of the point as 1, otherwise, suppressing the point as a non-edge point, and marking the corresponding positionof the point as 0; 4) obtaining a global proportion value; 5) calculating a local high-low threshold value matrix through an acceleration algorithm according to the global proportion value, and 6) detecting edges according to a double-threshold value matrix to obtain a final edge image. The Canny algorithm can detect the local significant edges in the image in a self-adaptive mode and has good acceleration calculation performance.

Binarization method and system for two dimensional code images is provided. Each block region has a different grayscale threshold. Thus, for each block region, whether a pixel in the block region is determined as black or white restoring process is not solely based on the grayscale value of the pixel itself, but also an average grayscale value of a predetermined area specified for a block region where the pixel locates. That is to say, when the predetermined area in which the block region locates has generally a larger grayscale value, the grayscale threshold corresponding to the block region may become larger, and vice versa. Because the grayscale threshold of a block region is closely related to grayscale values in a background of this block region, external circumstance interference may be prevented from an obtained binary result, producing a clear binary image accordingly.

The invention provides a laser underwater imaged image denoising and enhancing method for ocean exploration, and belongs to the field of image processing and pattern recognition. The core of the method is that at first, noise processing is performed on a laser underwater imaged image by applying SVD (singular value decomposition) and reconstruction in an airspace; then, aiming at the problem that the image has a little noise after SVD processing, wavelet decomposition and reconstruction are performed on the image in a wavelet domain to realize the purpose of wavelet denoising and enhancing; at last, FFT enhancing is performed on the image in a frequency domain to improve the image contrast and effectively keep the image resolution. Experiments show that the method can overcome a blocking effect due to equalization of local histogram equalization, and the image noise is effectively inhibited and the image resolution is kept under the premise that the image enhancement is realized.

The invention provides an SVC interlayer error concealment method based on OBMC. For a certain dropped frame, the method comprises the following steps at decoding end: according to space resolution rate of an enhancement layer and a base layer, judging whether the motion vector of the base layer needs to be amplified in scale and multiple and whether up-sampling filter is carried out to residual error data of the base layer; carrying out scale amplification and mode mapping to the motion vector of the base layer and obtaining the motion vector and mode of corresponding position of the enhancement layer; and using the motion vector and mode of the enhancement layer to carry out reconstruction to the dropped frame. The invention judges whether scale amplification is carried out according to the space resolution rate of the enhancement layer and the base layer before using the motion vector of the base layer, adopts possible up-sampling filter to residual error data of the base layer after a plurality of compensating blocks are found for OBMC weighing, adds the obtained data on the reconstructed value of an OBMC method, and avoids the block effect problem caused by using signal motion vector to make motion compensation.

The invention discloses a method for reconstructing distributed video coding based on constraints on temporal-spatial correlation of video, which belongs to the technical field of video signal processing, and comprises the following steps: after completing the decoding of a Wyner-Ziv frame code stream, determining the pixel value or conversion coefficient value of the Wyner-Ziv frame into the range of [BL, BU] by a decoder; according to the information such as the statistic correlation between the Wyner-Ziv frame and the side information, the gradient information of the Wyner-Ziv frame in different directions, and grounds between adjacent frames, and the like, modeling the reconstruction of the Wyner-Ziv frame so as to solve the optimal solution problem of Markov random field; introducing the constraint on spatial correlation between adjacent pixels or conversion coefficients in sub-bands by defining energy functions, and calculating some parameters of the defined energy functions by analyzing and using the correlation between adjacent frames by grounds. In the invention, through introducing the constraints on temporal correlation and spatial correlation of the video signals, the subjective quality and objective quality of a reconstruction result can be simultaneously improved.

The invention provides a low-light video real-time enhancement method based on a bright channel. The method includes the steps of determining the enhancement coefficient of each pixel point according to the calculated bright channel value, regulating the overall enhancement degree of an image / video according to the mean value of the image, calculating the mean value meanD of low-light video frames, setting the time threshold value T, calculating the bright channel value Jbright(x) of the low-light video frames, calculating the illumination factor gamma(x), and calculating the enhanced video frames BC(x). The blue correction enhancement effect is good. The colors of the enhanced video are true, the over enhancement phenomenon in a traditional method is effectively avoided. The window filtering operation process is avoided. The massive effect problem frequently seen in the prior art is fundamentally solved. The calculation speed is high. The problem that in the prior art, the operation speed is not high enough is solved, the 25 frame per second high-definition video is processed in real time, and the real-time processing requirement is met. The technical scheme is easy to achieve and is free of assistance of any complex peripheral device, the method can be achieved on a personal computer, and cost is low.

The invention relates to image binarization processing. In order to quickly realize image binarization generation and identification, the invention adopts the technical scheme that: a two-dimensional barcode image binarization method based on wavelet and an OTSU method comprises the following steps of: acquiring approximate distribution of imaging object surface illumination by using wavelet decomposition; then eliminating the influence of illumination non-uniformity by using the approximate distribution so that a whole image is approximately under uniform illumination; and finally, calculating an overall threshold value of the acquired image under the uniform illumination by using OTSU and implementing binarization. The method is mainly applied to image binarization processing.

The invention provides an image denoising method, an image denoising device, a storage medium and electronic equipment, and relates to the technical field of image processing. The image denoising method comprises the steps of partitioning a to-be-processed image to obtain a plurality of image blocks; respectively determining a plurality of matching blocks corresponding to the current image block in a plurality of reference frames through multi-frame motion estimation; and performing weighted fusion on the plurality of matching blocks and the current image block to perform denoising operation on the current image block to obtain a target image corresponding to the to-be-processed image. According to the embodiment of the invention, the image denoising effect can be improved, and the image quality is further improved.

The invention provides a single image defogging method based on improved non-local prior and a medium, and belongs to the technical field of computer vision and the technical field of image processing. The single image defogging method comprises the following steps: firstly, carrying out atmospheric light estimation by using an improved dark channel prior method, and then processing the whole image by using non-local prior to estimate the initial transmissivity, wherein global information is considered in non-local prior, and the image does not need to be segmented into different blocks, so that the phenomenon of wheel halo can be avoided; secondly, refining the scene transmissivity by adopting context regularization based on a weighted L1 norm to obtain refined scene transmissivity; and finally, correcting the transmissivity by using domain transformation filtering. Evaluation indexes such as peak signal-to-noise ratio, visible edge number, average gradient, saturated pixel point number and the like are improved.

The invention discloses a method and a device for embedding a visible watermark into an image. The method comprises the following steps: after a fundamental region into which each visible watermark is to be embedded is determined in an original image data block, a final region into which each visible watermark is to be embedded is obtained by enlarging the fundamental region; an image data block, into which the visible watermarks are imbedded, is obtained by embedding the visible watermarks into the fundamental region; an additional data block is built according to information about the visible watermarks and information about the final region; and after the additional data block is connected to the image data block into which the visible watermarks are embedded, the embedding of the visible watermarks is completed. Meanwhile, the invention further discloses a method and a device for recovering an original image. By enlarging the fundamental region and building the additional data block, the invention recovers precisely the original image, avoids blocking effect and boundary effect, and avoids visual impact caused by compression. Moreover, the whole method is self-closed, recovers the original image without requesting extra data, and realizes rapid operation.

A wavelet domain light field full-focus image generation algorithm belongs to the field of full-focus image fusion, the invention effectively avoids the block effect of the traditional spatial light field image fusion algorithm, high quality fully focused image of light field is obtained. Through spatial transformation and projection of 4D light field data obtained by microlens array light field camera, a multi-focus image for full-focus image fusion is obtained, a wavelet decomposition method for extracting multi-focus images of each frame is high, low frequency sub-image set. A domain equilibrium Laplace operator is proposed, the pixel visibility function constructs the high of the fusion image respectively, low-frequency wavelet coefficients realize image fusion, Its performance is superior to the traditional region definition evaluation function, and the experiment verifies the correctness and effectiveness of the method provided by the invention, and adopts the original data of the Lytro light field camera to calculate the fused fully-focused image. Compared with the traditional image fusion algorithm, the human visual effect is better, and the objective image index is also improved.

The invention discloses an improved rapid demisting method. The method is divided into three parts: the first part involves performing mean-value down-sampling processing on YUV data and converting the YUV data into small graphs in an RGB format; the second part involves performing maximum-value filtering on small graph transmissivity for the purpose of solving the problem of abrupt change edge blacking caused by down-sampling; and the third part involves performing up-sampling by use of bilinear interpolation for the block effect caused by the down-sampling so as to prevent the block effect. The method brought forward by the invention can process a 5-million-pixel video in a YUV format in real time on a PC. An effective improvement method is brought forward for effectively prevent a black-edge side effect caused by the down-sampling and the up-sampling. The up-sampling by use of the bilinear interpolation is brought forward for removing the block effect generated due to the down-sampling.

The invention discloses an asymmetric JPEG steganographic method based on elimination of a blocking effect. An image is decompressed from a DCT domain to a spatial domain, the compressed image is changed under the condition that the size of the image is not changed, a changed image is obtained, and a quantization table of the original image is converted into a DCT domain of the changed image; a cost value of the original image is calculated, both the original image and the changed image are cut, a cost value corresponding to a marking coefficient is adjusted, and a cost value of the changed image is obtained; and secret information is embedded into the changed image via the cost value of the changed image and a coding algorithm by taking the original image as a carrier, and a final steganographic image is obtained. According to the provided steganographic method, the safety of the steganographic method is improved without influence on the embedding amount and algorithm efficiency of apresent steganographic method, and possible blocking effect caused by routine DCT is avoided.

The invention provides an edge priority guide single-frame remote sensing image super-resolution processing method. Edge details of an image to be processed serve as priorities high-frequency information restoration is conducted on an intermediate image generated through interpolation, and the details are prevented from being lost or becoming fuzzy. The method is based on the regular optimization theory, a single-frame image super-resolution processing mechanism is provided, the image detail description capacity can be effectively improved, the quality of the image can be improved, the parallel capacity of the remote sensing image which is large in data size is good, and execution efficiency is high.

The invention discloses an edge preserving multiresolution MRF (Markov Random Field) model image segmentation method, which comprises the following steps that: firstly, on the basis of a multi-grid model, establishing a locally interacted image multiresolution grid segmentation model; then, utilizing a Cauchy model with an edge preserving function to extract the edge priori knowledge of the image;and establishing a local area interaction multiresolution MRF model which is combined with edge preserving to segment the image. Therefore, the fusion of the local area characteristics and the edge characteristics of the image is realized, the blocking effect phenomenon of the conventional multiresolution MRF model in an optimization process is solved, and the edge of an image segmentation resultis effectively kept.

An anti-PD-1 nano-antibody capable of blocking a binding interaction between PD-1 and a ligand thereof, PD-L1. Disclosed are the nano-antibody, a nucleotide sequence encoding the nano-antibody, a corresponding expression vector, a host cell expressing the nano-antibody, and a method of producing the nano-antibody. Also disclosed is a humanized PD-1 nano-antibody sequence. The humanized nano-antibody can block the binding interaction between PD-1 and the ligand thereof, PD-L1 while still retaining a high affinity.

The invention discloses a virtual viewpoint hole filling method based on deep background modeling. The method comprises the following steps: inputting a deep video and a texture video of a reference viewpoint; respectively carrying out background modeling on the deep video and the texture video of the reference viewpoint to obtain a depth background image and a texture background image; respectively mapping the depth video and the depth background image of the reference viewpoint and the texture video and the texture background image of the reference viewpoint by using a three-dimensional mapping method to obtain a depth video, a depth background image, a texture video and a texture background image of the virtual viewpoint; and finally, respectively carrying out depth hole filling on thedepth video and the depth background image of the virtual viewpoint, fusing the texture background image of the virtual viewpoint with the texture video of the virtual viewpoint to obtain a fused image of each frame of image in the texture video of the virtual viewpoint; and filling the residual cavity area in each frame of fusion image to obtain a first texture video of the virtual viewpoint. According to the method, the defect of time inconsistency of depth videos is overcome, and the virtual viewpoint perception quality after filling is good.

A digital image processing device and processing method thereof are provided. The device includes a digital image capturing module, an image enlarging module, an image correcting module, and an image blending module. The digital image capturing module captures a plurality of first resolution images. The image enlarging module enlarges the first resolution images and produces a plurality of second resolution images. The image correcting module selects a target image and produces a plurality of corrected images. The image blending module performs direction gradient operation on each of the pixels of the target and corrected images and produces a plurality of gradient differential values. The image blending module performs a weighting sum operation on each of the pixels of the target and corrected images and produces a third resolution images.

The invention relates to a preparation method for a low-cost GaN-based light emitting diode. The preparation method for the low-cost GaN-based light emitting diode aims to solve the technical problems that existing light emitting diode preparation methods are high in cost, and substrates can hardly be utilized repeatedly. The preparation method for the low-cost GaN-based light emitting diode comprises the steps that a lamelliform TiC material with the surface covered with graphene serves as a substrate material, a light emitting diode epitaxial structure grows on the substrate material, and the epitaxial structure comprises an n-type doping layer, a multiple-quantum-well light emitting layer and a p-type doping layer. According to the preparation method for the low-cost GaN-based light emitting diode, the lamelliform TiC material with the surface covered with graphene serves as the substrate material, separation of the substrate and the epitaxial structure is achieved through weak Van der Waals' force between the graphene and the epitaxial layer and mechanical tensile force, repeated using of the substrate is achieved, and the manufacturing cost of devices is lowered.

The invention provides an image fusion method and an image fusion device based on an un-decimated morphological wavelet. The image fusion method and the image fusion device based on the un-decimated morphological wavelet are applicable to the field of image processing. The image fusion method comprises the steps of decomposition, fusion and reconfiguration. The image fusion method based on the un-decimated morphological wavelet has the advantages that a block effect is avoided.

A broadband satellite antenna for producing a dual-band multiple beam coverage in transmission and reception based on an offset dual-optics configuration that includes a single main parabolic reflector, a hyperbolic sub-reflector, a first transmitting Multiple-Feed-per-Beam feed system, and a second receiving Multiple-Feed-per-Beam feed system. The sub-reflector surface is a Frequency Selective Surface configured to transmit any electromagnetic signals in the higher frequency band and to reflect any electromagnetic signals in the lower frequency band. The Multiple-Feed-per-Beam feed systems are located at the main focal point FMO and at the first sub-reflector real focal point FSreal. The eccentricity e of the hyperbolic sub-reflector depends on a ratio between a preset lower frequency fL in the lower frequency band BL and a preset higher frequency fH in the higher frequency band BH. The first transmitting Multiple-Feed-per-Beam feed system and the second receiving Multiple-Feed-per-Beam feed system are geometrical scaled versions of each other.

The invention provides a manufacturing process of a vertical silicon nanowire transistor. By improving the fabrication technology of vertical silicon nanowire transistor, the invention avoids the blocking effect of the enclosure gate of the vertical silicon nanowire transistor when ion implanting the source and the drain in the prior art, and the blocking effect can cause the asymmetry of the device performance caused by the non-uniform doping of the source and the drain, thus causing the circuit design and the device reliability to encounter problems. The invention adopts a new process step,solves the problem of device structure and characteristic asymmetry caused by blocking part of source end ion implantation by the vertical silicon nanowire transistor enclosure gate, enables the vertical silicon nanowire transistor structure and performance to be symmetrical, does not depend on the selection of source and drain, and thus the circuit design will greatly benefit.

According to the invention, image blocks are respectively reconstructed in a blocking manner; in the reconstruction process of each image block; two most adjacent mapping matrixes are solved accordingto the size of the quantization parameter in the image block; the two mapping matrixes are used for reconstructing the image blocks to obtain two reconstructed image blocks, the two reconstructed image blocks are fused in a linear interpolation mode to obtain final reconstructed image blocks, and all the final reconstructed image blocks are combined to obtain a final reconstructed image. According to the method, the block effect caused by image compression is solved, and the situation of compression distortion caused by the fact that one mapping matrix is adopted and cannot be compatible withmultiple quantization coefficients in the prior art is improved.

The invention provides an image processing method which includes the following steps: obtaining a source image of a Bayer pattern color array; executing a first-order image processing on the source image to generate a first luminance and chrominance format image; executing a second-order image processing on the source image so as to generate a second luminance and chrominance format image; then generating a noise inhibition image after executing noise filtering processing on the first brightness and chrominance format image; and firstly carrying out weighting processing on a luminance image in the noise inhibition image and a luminance image in the second luminance and chrominance format image and then combining a chrominance image in the second luminance and chrominance format image so as to generate a processed image. The noise reduction degree of the noise inhibition image is higher than the noise reduction degree of the second luminance and chrominance format image.