133results about How to "Improve compression quality" patented technology

A video transcoding method is provided for transcoding a first signal stream compressed by a first coding scheme to a second signal stream compressed by a second coding scheme. The method employs an adaptive frame rate and a joint temporal-spatial rate control technique, such that the overall quality of compressed MPEG video can be significantly enhanced when the transcoding is controlled in the joint temporal (picture or frame rate) and spatial (quantization) domains. One embodiment considers transcoding from high bit rate video with larger image size (e.g. 4CIF / 4SIF, CIF) coded by one coding technique, e.g., MPEG-2 to a lower bit rate video with smaller image size (e.g. CIF, QCIF) coded by the same or another coding technique, e.g., MPEG-4.

A video transcoding method is provided for transcoding a first signal stream compressed by a first coding scheme to a second signal stream compressed by a second coding scheme. The method employs an adaptive frame rate and a joint temporal-spatial rate control technique, such that the overall quality of compressed MPEG video can be significantly enhanced when the transcoding is controlled in the joint temporal (picture or frame rate) and spatial (quantization) domains. One embodiment considers transcoding from high bit rate video with larger image size (e.g. 4CIF / 4SIF, CIF) coded by one coding technique, e.g., MPEG-2 to a lower bit rate video with smaller image size (e.g. CIF, QCIF) coded by the same or another coding technique, e.g., MPEG-4.

The invention provides a code rate control method for balancing a code rate and image quality; wherein, the method firstly initializes coding parameters and then makes comparison of the peak signal noise ratios and the deviation values of bit uses of I frame, P frame and B frame with the respective value ranges thereof, so as to judge whether the rations and the deviation values meet relative balance conditions in a balancing way; the method then adjusts the coding parameters (such as quantization parameters, etc.) according to the judging result for a plurality of times and returns the adjusted parameters to recode; the method can use as much code rate bandwidths as possible in the condition of ensuring little changes of image quality, and that is to say, the method better improves the compression quality of videos with the same coding rate. The code rate control method can be successfully applied in an AVS coding algorithm.

A system and method for compressing digital image data. An image may be divided into sub-regions. A maximum number of template codes may be determined for representing each sub-region, each template code uniquely identifying a template pattern in a dictionary. Each of a plurality of the sub-regions may be associated with a plurality of template patterns, each of which individually does not match the sub-region, but which when combined together more closely match the sub-region. A compressed data set may be generated for the image, in which each sub-region is represented by up to the maximum number of template codes uniquely identifying the associated plurality of template patterns. The up to the maximum number of template codes may be transmitted for each sub-region from the compressed data set, wherein the maximum number of template codes is a dynamic parameter adjustable based on the bandwidth available for transmitting.

The invention discloses a method for virtual desktop compression, which comprises the steps that at a step S101, an instruction buffer device is constructed in a virtual display card of a virtual desktop system, and a rendering instruction is saved; at a step S102, desktop images and the rendering instructions are acquired regularly from the virtual display card; at a step S103, the images are compressed by an image compressor; at a step S104, the compressed images are sent to a client side by a network; at a step S105, the compressed images are received by the client side; at a step S106, the compressed images are decoded by the client side; and at a step S107, decoded images are displayed by the client side. The method for the virtual desktop compression disclosed by the invention makes use of a rendering instruction buffer area which is synchronous with the desktop image and established on a virtual desktop server side and applies the instructions to assist the image compression in order to reduce complexity of the image compression and increase quality of the image compression. Meanwhile, standards and specifications adopted by the image compression do not influence performance and cost of the client side, so that multi-media application capability of the virtual desktop is strengthened.

The invention discloses a compressive sampling-based (CS-based) video coding / decoding system and a method thereof and relates to the technical field of image compression. The video coding / decoding system consists of a CS-based video coder subsystem (100) and a CS-based video decoder subsystem (200), wherein the CS-based video coder subsystem (100) is used for realizing compressive coding on an input video sequence image at a video sending end to generate a video compression code stream, and the CS-based video decoder subsystem (200) is used for realizing decoding on the received video compression code stream at a video receiving end to reconstruct an original video sequence image. According to the CS-based video coding / decoding system disclosed by the invention, the compression efficiency and the quality of the reconstructed image can be effectively increased while low-complexity coding is performed, and the application requirements of a wireless video camera, a wireless video monitor and the like are met.

The invention relates to an FPGA encoding method and system and a control method for an unmanned aerial vehicle image transmission device. The system comprises an image input module, a wavelet transformation processing module and an SPIHT algorithm encoding module. The image input module is used for receiving collected image data in real time and conducting conversion in the aspect of a data interface protocol on the collected image data. The wavelet transformation processing module is used for conducting wavelet transformation on image original data after the interface protocol is converted so that wavelet coefficients can be obtained. The SPIHT algorithm encoding module is used for encoding in a bit-plane mode, conducting bit-plane division on the wavelet coefficients to form n bit planes which are scanned in parallel and processing each bit plane to obtain encoded binary code streams. The system further comprises an image encoder general control function module and a system initialization function module, wherein the image encoder general control function module is used for controlling the enable of various function modules in the FPGA encoding system and the enable of a state transition process including an input data processing process, an output data processing process and a middle data processing process, and the system initialization function module is used for initializing the various function modules, memories and registers in the FPGA encoding system and for setting a default state.

The invention belongs to the technical field of HEVC (High Efficiency Video Coding), and discloses a code rate control method based on a subjective region of interest and time-space domain combination. The method comprises the following steps: calculating each CTU grade target bit allocation weight based on a space domain; calculating a motion region of each frame of image based on light streams and a global motion estimation algorithm to serve as a time domain region of interest; adjusting the obtained CTU grade target bit allocation weights according to a time domain region of interest result obtained on the basis of the light streams and the global motion estimation algorithm; performing a center enhancing operation on the CTU grade target bit allocation weights obtained through time-space domain subjective region of interest detection; obtaining final coding CTU grade target bit allocation to perform a coding operation; and modifying a video compression final evaluation standard. Compared with an HM16.0 compression model, the code rate control method has the advantages that the HEVC compression subjective effect is enhanced under the condition of ensuring that a target bit code rate is invariable.

The process of compression of a block of a size L.times.H of a sequence of images comprises, in a repetitive manner, for said block: a search step, in one of the images of the sequence of images, for the zone L.times.H pixels the most similar to said block; a step of determining whether the resemblance between said zone and said block responds to predetermined criteria; if said resemblance responds to said criteria, a step of storing the motion vector which indicates the distance between the block and the most similar zone found; if said resemblance does not respond to said criteria, and if the block does not have a predetermined minimum size, a step of cutting out said block into sub-blocks and a supplemental repetition, for each of said sub-blocks, and if said resemblance does not respond to said criteria, and if the block has a predetermined minimum size, a step of storing the block in the course of which the block is compressed without reference to a reference image.

The process of compression of a block of a size L.times.H of a sequence of images comprises, in a repetitive manner, for said block: a search step, in one of the images of the sequence of images, for the zone L.times.H pixels the most similar to said block; a step of determining whether the resemblance between said zone and said block responds to predetermined criteria; if said resemblance responds to said criteria, a step of storing the motion vector which indicates the distance between the block and the most similar zone found; if said resemblance does not respond to said criteria, and if the block does not have a predetermined minimum size, a step of cutting out said block into sub-blocks and a supplemental repetition, for each of said sub-blocks, and if said resemblance does not respond to said criteria, and if the block has a predetermined minimum size, a step of storing the block in the course of which the block is compressed without reference to a reference image.

The invention relates to video processing and discloses an interlace compressed display method and an interlace compressed display system for reducing video frame rate. According to the invention, a field picture is selected every other X fields, wherein X is a positive even number, and video compressed encoding is performed only on the selected field picture, and thus, the field rate after field picture selection is 1 / (X+1) that before field picture selection. In addition, an interlace display device can match a de-interlacing algorithm to recover one frame picture from one field picture, so that the resolution and the fluency of displayed videos can be improved effectively under the condition that code rate bandwidth is limited.

The invention discloses a method and a system for compressing a display image, which belong to the technical field of image compression. The method comprises steps: S1, a plurality of coding units whose number is matched with that of pixel pages are provided to carry out coding compression processing on the multiple pixel pages respectively; S2, in each coding unit, the coding information is transmitted to a code rate allocation unit in real time; S3, the code rate allocation unit adopts a preset strategy to calculate the current target code rate of each pixel page in real time, and the current target code rate is sent to the plurality of coding units; S4, the plurality of coding units use the current target code rate respectively to carry out coding compression processing on the multiple pixel pages, whether the coding compression processing is over is judged, if not, the step 2 is returned, and if yes, exiting is carried out. The system comprises a dividing unit, the coding units and the code rate allocation unit. The above technical scheme has the beneficial effects that the problem that the image compression quality is not uniform is solved, and the overall compression quality of the display image is enhanced.

The invention relates to the technical field of medical equipment, in particular to a cardio-pulmonary resuscitation thoracic automatic pressing device and a pressing self-feedback system. The systemcomprises an automatic pressing device, a physiologic index detecting module and a control system. The automatic pressing device comprises a motor, a transmission mechanism and a pressing head. The transmission mechanism converts motion of the motor into linear reciprocating motion of the pressing head; a motor and physical index detection module and the control system are electrically connected;the control system achieves starting and stopping control of pressing motions and physiological parameter display and can automatically pressing parameters according to current physiological parameters. The pressing parameters include pressing frequency, pressing depth, pressing waveforms, pressing time and dynamics indexes; the pressing waveforms include sine waves, trapezoidal waves and triangular waves. Automatic thoracic pressing operation can be performed, meanwhile, the pressing depth, frequency and pressing mode can be regulated, the pressing parameters can be automatically optimized according to the feedback physiological parameters, and the independent circulation recovery rate can be effectively increased.

The present invention discloses one kind of color space transformation method for compressing 16-bit color image. On the basis of traditional image or video compression technology, such as JPEG sequence, MPEG sequence and H.26X sequence, one conversion from 24-bit RGB format to 16-bit RGB format is increased to the encoding end, and the color space transformation method is used to eliminate the redundant information in the input end and simplify the operation steps in the decoding end, so as to reduce the decoding complexity and raise the video compression quality.

The invention discloses a method for sensing occurrence of fracture in a cardio-pulmonary resuscitation process and a compression apparatus. The method for sensing the occurrence of the fracture comprises the following steps: 1) setting a distance sensor to detect a compression depth value of a compression executing part, setting a pressure sensor to detect a real-time compression pressure value of the compression executing part on a chest and transmitting the values to a central control system; 2) starting the compression executing part to execute compression actions on the chest of a patient; 3) storing a corresponding relation between the chest compressed pressure and the compression depth in the central control system as a comparison parameter; 4) updating the storage of the comparison parameter every other a certain duration or other every compression times; and 5) detecting whether a sudden change exists in the compression pressure or not, so as to judge the occurrence of the fracture. The method for sensing the occurrence of the fracture in the cardio-pulmonary resuscitation process disclosed by the invention can timely sense the situation of compression fracture in a process of implementing emergency, so as to effectively relieve fracture and secondary injury caused by the fracture, and subsequently to improve emergency quality and efficiency.

A compensation table compressing method is provided, processes each encoding block by prediction modes and select one prediction mode with the minimum rate distortion optimizing value as an optimized prediction mode by the rate distortion optimizing method such that each encoding block can correspond to an optimized prediction mode, which lowers the compression ratio of the compensation table and the time complexity of encoding and increases the quality of compression.

Provided is a compensation table compression method. Each coding block is processed by using multiple prediction modes, and a prediction mode with the minimum rate distortion optimization value in each coding block is selected as an optimal prediction mode through a rate distortion optimization method, so that each coding block can correspond to an optimal prediction mode, and the compression rateof the compensation table and the time complexity of coding are reduced, and further the compression quality is improved.

An image encoding system is disclosed. The image encoding system comprises a wavelet transform unit and a processing circuit. The wavelet transform unit performs a multiple-line-based wavelet transform on plural consecutive component lines to generate a wavelet transformed image comprising wavelet coefficients of plural sub-bands. The processing circuit coupled to the wavelet transform unit for quantizing, scanning and encoding the wavelet coefficients to generate a compressed image. Here, a number of the plural consecutive component lines is a multiple of 2 and less than 5. Since the wavelet transform unit performs the multiple-line-based wavelet transform to reduce the storage amount and maintain a good compression quality, an image encoding system of the invention can use SRAM buffers instead of a DRAM buffer.

The invention discloses a rate distortion optimization method and a rate distortion optimization device based on significance weighting. The method comprises the following steps: acquiring salience values of each CU block in a video, and calculating a perceived priority distortion; and adding the perceived priority distortion to the traditional rate distortion calculation method to acquire a finaloptimal object. The method brings the significance feature of the current block into the traditional rate distortion calculation method to realize perceived priority, which can improve the compression quality of the significance area, reduce the code rate at the same time with high coding efficiency, and reduce the computation complexity.

The invention discloses a CU significance-based QP selection algorithm. The CU significance-based QP selection algorithm comprises steps of selecting a video frame image, dividing the video frame image into multiple CU blocks, and calculating a significance value of each CU block; calculating an average significance value of all CU blocks in S10; and according to the significance value of each CUblock and an average significance value of all CU blocks in the selected video frame image, dynamically adjusting the QP value of the CU block, and acquiring a sensing QP value of each CU block. In the method, the QP corresponding to the CU is selected according to the significance value of the CU, so that the CU with higher significance can encode with smaller QP, and a highly significant regionhas higher compression quality.

The invention discloses a picture transmission method. The method comprises the following steps: acquiring original pictures by a shooting terminal, and segmenting each of the original pictures into Npixel blocks; compressing each of the pixel blocks by the shooting terminal according to a preset compression index, and obtaining compressed pixel blocks; combining each of the compressed pixel blocks into compressed pictures by the shooting terminal, and transmitting each of the compressed pictures to a display terminal; decompressing each of the compressed pictures by the display terminal according to a preset control parameter, so as to generate decompressed pictures; and performing image enhancement technology processing on each of the decompressed pictures by the display terminal, so asto generate high-definition pictures. The invention further discloses a picture transmission system. The embodiment of the invention can improve the picture transmission efficiency and display the pictures in high definition.

The present invention relates to an image compression device. A first digital signal processor of the device reads the real time image of I frame encoding type in the image memory and the intermediate result image of P frame encoding type though a programmable logic array, performs conversion, quantization and coding to the corresponding frame image data, and then performing an inverse quantization inverse transform to reconstruct the image to store in the image memory; the first digital signal processor outputs the code stream data generated after encoding through a communication interface; a second digital signal reads the real time image and the reconstruction image through the programmable logic array, takes the reconstruction image as a reference image, performs movement estimation and movement compensation according to the real-time image and the reference image to generate intermediate results image, and then storing the intermediate results image in the image memory. The invention can perform real-time processing to the image sequence picked up by a high frame frequency and large surface array digital pick-up camera while guaranteeing the compressing quality. The present invention has simple structure, small size, and is principally used in remote transmission of images.

The invention discloses an image compression method. The image compression method comprises a first step of segmenting an original image into multiple image blocks; a second step of evaluating each image block, selecting one pixel in each image block as a reference pixel, calculating a pixel value of the reference pixel after being subjected to compression by utilizing the original pixel value of the reference pixel, regarding the pixel value as a compression reference value and calculating a ratio a of the pixel value of each common pixel in the image block and the original pixel value of the reference pixel; a third step of compressing each image block, calculating the ratio b of the pixel value and the compression reference value of each common pixel in the compressed image block, storing the compressed image block if the relationship between the ratio b and the ratio a accords with a preset compression coefficient, and performing pixel compensation on the common pixels if the relationship does not accord with the preset compression coefficient; and a fourth step of composing the multiple compressed image blocks into a compressed image. The image compression method improves the compression quality and guarantees the compressed image quality.

The invention discloses a block content classification method based on a convolution neural network. The method comprises steps of constructing a data set and using the content type of the data set asa tag of a training sample; constructing a convolution neural network; converting the training sample into a gray scale graph; representing each pixel of the gray scale graph by using the eight-bit binary number; extracting the last bit of each pixel to serve as input of the convolution neural network; obtaining a last bit-convolution neural network model through the training; when predicting theinput N*N code blocks, predicting the content type of the current code blocks by use of the last bit-convolution neural network model, and if the output is a camera shooting block, acquiring a classification result; and if the output is a computer generation block, carrying out prediction by use of the last bit-convolution neural network model, and acquiring a classification result of corresponding computer generation text blocks or computer generation non-text blocks. According to the invention, accuracy of prediction of the content type and the calculation efficiency can be improved; redundant calculation can be reduced; and compression quality is improved.

The invention belongs to the technical field of image compression, and discloses a saliency compression method and system, a storage medium, computer equipment and application, and the method comprises the following steps: for a saliency detection module, employing a U2Net network to achieve the saliency detection module; comparing a residual block fusion local feature with a multi-scale feature, and proposing an overall network architecture; according to the U-Net and the non-local residual error, proposing ResU to extract multi-scale features in the stage; inputting a convolutional layer, and converting the original feature map into an intermediate map F1 (x) through a common convolutional layer; learning and coding multi-scale context information through U-block by taking the intermediate feature map F1 (x) as input; fusing local features and multi-scale features through F1 (x) and U (F1 (x)); for a compression module, proposing an attention channel method, so that a discrete Gaussian model is improved, and finally decoder enhancement is introduced to realize construction of an image compression architecture. According to the invention, the compression quality of the image can be improved at a low bit rate.

The invention provides a uniform feeding device for a straw briquetting machine. The uniform feeding device for the straw briquetting machine comprises a feeding tank, grid plates, a transmission mechanism and a drive motor. During practical application, the multiple grid plates on the bottom part of the feeding tank jointly block an inner cavity of the feeding tank through mutually contacted blocking parts. After smashed straw materials enter the feeding tank, the straw materials are blocked by the grid plates so as not to flow out of the feeding tank temporarily. The transmission mechanism further comprises a cam, a transmission rod and a swinging switching part, wherein the drive motor drives the cam to rotate, an eccentric shaft on the am moves in a slideway on the swinging switching part in a reciprocating way, the swinging switching part swings to drive the transmission rod to carry each grid plate to turn over, and a discharging space is formed alternately by the left side and the right side of each grid plate, so that the straw materials are fallen uniformly. According to the uniform feeding device provided by the invention, the straw materials can be fallen into a compression space in a uniform way, the problems of taper-angle accumulation and non-uniform distribution of the materials are solved, and the compression quality of straw material blocks is improved.

Provided are a video processing method and a system and associated equipment. The video processing method comprises that an encoder sends a pixel value compress mode of a video image to a decoder, wherein the pixel value compress mode comprises a mapping relation of the pixel value of the video image before compression and the pixel value of the video image after the compression; the encoder carries out compression processing on the pixel value of the video image according to the pixel value compress mode so as to obtain a to-be-encoded video image; the encoder encodes the to-be-encoded video image so as to obtain encoding code stream of the video image; the encoder sends the encoding code stream of the video image to the decoder so that the decoder receives and decodes the encoding code stream of the video image so as to obtain the video image after decoding, inverse compression processing is carried out on the pixel value of the video image after the decoding according to the pixel value compress mode, and therefore the pixel value of the video image after decoding can be restored. The embodiment of the video processing method and the system and the associated equipment can improve video image compression quality under low transmission channel bandwidth.

A method for image compression coding is provided. According to the method, a plurality of codebooks is created according to the correlation between pixels, and the quantization value of each state is determined by dynamically looking up the codebooks. Therefore, the present invention not only enhances the image compression ratio but also improves the image compression quality.

The invention provides a voxel-based point cloud compression method and device for adaptive partitioning. The method comprises the following steps: carrying out the adaptive partitioning of original point cloud data; encoding the point cloud blocks subjected to the self-adaptive partitioning; training a compression encoder by using the improved wBCE loss function; and encoding the point cloud blocks subjected to adaptive partitioning by using the trained compression encoder. The method and the device have the beneficial effects that the compression rate and speed of point cloud compression canbe effectively improved, and meanwhile, the quality of point cloud compression can be obviously improved at a relatively high compression rate.