90 results about "Image compression algorithm" patented technology

The invention relates to a compression method and belongs to a method of data compression technology in the field of information technology. The method comprises the following steps: inputting large-batch bill images; sorting and sequencing the bill images; utilizing a dynamic image compression algorithm to compress the images; packing and encrypting the images; adopting a dynamic image decompression algorithm to decompress the images and reducing and taking each image picture out; and outputting the batch images after the sorting and reduction. Compared with JPEG 2000, the compression algorithm provided by the invention has the advantages that: the compression speed is improved by 4 times; the size of resulting file of the compression is one-tenth of that of the original image; and after the decompression, the discrimination rate of OCR is kept unchanged basically. Based on the property, the compression method can transmit a real-time image in the network by using only small bandwidth.

The invention provides a wild animal monitoring system established based on a wireless image sensor network. The wild animal monitoring system based on the wireless image sensor network comprises a wireless infrared image sensor network, a base station and a wild animal monitoring center, wherein the wireless infrared image sensor network can achieve the automatic collection, compression and transmission of wild animal monitoring images in all weather, the base station is connected with the wireless infrared image sensor network through a 3G network, and the wild animal monitoring center is connected with the base station through an Internet and is provided with a 3D GIS. An image compression algorithm which is based on a compression sensing theory and is suitable for the wireless infrared image sensor network which is limited in processing capability, power source endurance and information channel transmission bandwidth is adopted in the wild animal monitoring system. The wild animal monitoring system based on the wireless image sensor network is the successful application of the wireless image sensor network in the filed of wild animal protection monitoring, the wild animal monitoring images can be obtained in all weather, and researching personnel are assisted to remotely master the current state and the dynamic changing of wild animal resources in real time.

A novel and useful method and system of optimized image compression of digital pathology slide images. The optimized image compression mechanism exploits the special color properties of the stained tissue represented by the digital pathology slides and provides an image compression algorithm having improved rate-distortion performance. Optimized color transforms are pre-computed using training sets of pathology slide image scan data for each stain type. The optimized color transforms are used to compress input slide image scans resulting in more efficient image streaming enabling users to review extremely large digital slide scans from any connected location, such as in a hospital, satellite center, home or on a mobile telephone.

The invention relates to a fingerprint identification method, which comprises the following steps: collecting the fingerprint mold image; collecting the identifying fingerprint image; comparing the identifying fingerprint image with the fingerprint mold image with correlation method of the fingerprint similarity; determining if two images are the same finger image according to the comparison result; adjusting the resolution ratio and the size according to the same format with the image compression algorithm before the comparison of the identifying fingerprint image and the fingerprint mold image. The invention assembles different type sensor to a set of fingerprint identification system, which is fit for most of people, can apply the fingerprint data acquired by a fingerprint sensor to the other fingerprint sensor product directly.

The invention relates to a wild animal field monitoring device. On the basis of a wireless sensor network technology, the wild animal field monitoring device can form a wireless sensor network in a self-organizing mode to automatically collect and send wild animal monitoring images. The wild animal field monitoring device is composed of an image collecting module, an image processing module, a wireless communication module, a GPS module and a power supply module, wherein the image collecting module is provided with three pyroelectric infrared sensors, a plurality of infrared LEDs, a photosensitive sensor and two steering engines and can automatically collecting the wild animal monitoring images. The wild animal field monitoring device adopts an image compression algorithm based on compressed sensing and has high energy efficiency and a high compression ratio to reduce data transmission quantity. The wild animal field monitoring device is a successful application in the aspect of wild animal monitoring, can obtain the wild animal monitoring images all weather and helps research workers to master the current situation and dynamic changes of wild animal resources remotely in real time.

The embodiment of the invention provides an image compression method and a system based on a generated countermeasure network. Tranining data is obtained. The training data includes an original imageand a corresponding compressed image. According to the training data, the generated network and discrimination network are trained. The image generation network model is obtain. The image to be compressed is inputted into the image generation network model for compression and reconstruction. Compared with the traditional image compression algorithm, the invention utilizes the generation type confrontation learning method to train the generation network and the discrimination network, optimizes the parameters of the generation network, and obtains the image generation network model. The image can be compressed quickly by using the image generation network model. Compared with the compression algorithm based on coding redundancy, the compression and reconstruction speed is faster. Compared with the compression algorithm based on spatial redundancy, the similarity between the compressed image and the original image is higher.

The invention relates to a 14-bit width image compression hardware coder which can be used for reducing the storage space and transmission bandwidth required for recording and transmitting high bit width image with 8-14 bits and is developed based on a small wave image compression algorithm with low complexity. The coder comprises the modules as follows: an overall situation state machine controller, four data path gates, four data caches A, B, C and D, an image buffer, a first-stage small wave driver, a second-stage small wave driver, a third-stage small wave driver, a two-dimensional predicator, a two-dimensional small wave variable engine, a data transfer device, an optimization quantizer, a self-adaptive zero-course coder and an index Columbus coder. All the modules are organically combined for parallel processing, thereby realizing high-speed and high-bit width image compression with higher image quality. The real-time compression of a high-bit width camera image can remarkably reduce the image data amount, the storage volume and the requirements for transmission bandwidth.

The invention discloses a method and a device for coding and decoding an image. The coding method comprises the following steps of: calculating the actual length of a first prediction error value of a color channel of pixels adjacent to pixels to be coded in the last row of pixels of the pixels to be coded in the image and the actual length of a second prediction error value of a color channel of the pixels to be coded; determining the used coding length according to the actual length of the first prediction error value and the actual length of the second prediction error value; and writing a coding rule tag corresponding to the coding length and the second prediction error value into code stream corresponding to the pixels to be coded according to the coding length. By adopting the method and the device, the problem that the compression algorithm for the image cannot simultaneously meet the design requirement of a hardware circuit with low complexity, low power consumption and high speed is solved, so that the performance of the image compression algorithm is improved.

A VLSI image compression encoder based on wavelet transformation comprises a center control, a data exchange unit, a wavelet transformation driver with one to three level, a two-dimensional wavelet transformation engine, a combined encoder and two data bufferings of RAM_A and RAM_B; firstly, the encoder carries out three level wavelet transformation on an input image by using the wavelet transformation driver with one to three level and the two-dimensional wavelet transformation engine; and then an optimum quantizer in the combined encoder respectively quantizes each subband; entropy coding is carried out on the quantized coefficient by a self-adapting zero run-length encoder and an Exp-Golomb encoder in the combined encoder; and finally the compression code stream is obtained. In the encoder, hardware is used for realizing an image compression algorithm and improving image compression speed, and causes that an image recorder has real time image compression capability, thus effectively prolonging recording time and improving transmission capability.

The invention discloses a new binary (bit level) lossless image compression system. An error correction BCH (Broadcast Channel) code is introduced into an image compression algorithm; a four-bit binary of each image adds a 3-bit check code to compose a code word in a size of 7; these blocks enter into a BCH decoder, so that the size of the original blocks is reduced to 4 bits after the check bits are removed. The experiment result shows that the compression algorithm is effective, and a very well compression ratio is given without data loss. The use of the BCH code is better than the use of single Huffman compression in the aspect of improving the compression ratio.

The invention relates to a distributed image transmission method oriented to a wireless multimedia sensor network, which is designed to solve the problem that limited resources cannot be fully utilized because the resources of the wireless multimedia sensor network are seriously limited and the energy consumption stresses of nodes are not balanced. The method takes a concurrent computation concept as a basis and is based on the high-efficiency energy-saving distributed image compression algorithm of JPEG2000. During clustering, the algorithm introduces a node campaign factor and a communication cost function, self-adaptive optimal distribution of compression bit rates is conducted to an image block according to the gradient magnitude of an image and finally data information molecule bandsafter wavelet transformation in an image compression process are separately coded. The distributed image transmission method oriented to the wireless multimedia sensor network has the characteristicsand the advantages that on the premise that image quality is guaranteed, the large-size high-resolution image transmission is realized in the wireless multimedia sensor network with seriously limitedresources at low energy consumption and in load balance, the energy consumption stresses of camera nodes can be greatly relieved, the image acquisition and compression energy consumption stresses of a cluster-head node layer can be decomposed to a redundantly-deployed common node layer through the cooperation between the common node layers and the cluster-head node layer, the energy consumed by the cluster-head node layer can be effectively decreased by 25 percent in each turn, at the same time, the energy consumption of network nodes can be greatly balanced and the lifecycle of the network is prolonged by 15 percent.

A method of compressing an image according to an image compression algorithm includes sequentially receiving pixel values into a buffers bank in line-by-line order. The image includes a plurality of pixels arranged into lines and columns. Each pixel has a pixel value associated therewith. Each line has L pixels. The image compression algorithm operates on blocks of pixels, each block having N lines and M columns. The method also includes storing each block-line of pixel values in a buffer of the buffers bank. A block-line includes M consecutive pixels of a line. The method also includes, for each block-line, storing a pointer to the buffer in which the block-line is stored and reading block-lines out of the buffers bank to a compression engine, wherein the block-lines are read out of the buffers bank in an order that is different from the line-by-line order in which the block-lines were received into the buffers bank. The method further includes compressing the image according to the image compression algorithm and displaying the image.

Disclosed is a JPEG (joint photographic experts group)-LS (layer style) image compression control method based on image source features. The method includes statistically analyzing run features of images to be compressed, and taking feature result as an input parameter of a dynamic deviation method for modification to control an error parameter NEAR in a JPEG-LS image compression algorithm so as to effectively control probability of random stripes appearing in uncompressing images and control image compression quality. The method is simple in operation, small in resource occupation for hardware implementation and easy to be implemented through an FPGA (field programmable gate array) or ASIC (application specific integrated circuit), and can effectively increase image preprocessing speed.

The invention provides an image processing method and device, which relate to the technical field of image processing and can solve the problem of poor compression quality of a single image compression algorithm for different types of images. The specific technical scheme is as follows: obtaining the target image; determining an image class of the target image through a neural network classification model; determining a target algorithm according to preset mapping data; and compressing the target image according to the target algorithm. The present disclosure is for image processing.

A method of compressing an image according to an image compression algorithm includes sequentially receiving pixel values into a buffers bank in line-by-line order. The image includes a plurality of pixels arranged into lines and columns. Each pixel has a pixel value associated therewith. Each line has L pixels. The image compression algorithm operates on blocks of pixels, each block having N lines and M columns. The method also includes storing each block-line of pixel values in a buffer of the buffers bank. A block-line includes M consecutive pixels of a line. The method also includes, for each block-line, storing a pointer to the buffer in which the block-line is stored and reading block-lines out of the buffers bank to a compression engine, wherein the block-lines are read out of the buffers bank in an order that is different from the line-by-line order in which the block-lines were received into the buffers bank. The method further includes compressing the image according to the image compression algorithm and displaying the image.

The invention provides an audio-visual detection system and method of a robot under whole-sea deep water. The audio-visual detection system comprises a buoy, underwater sound communication sonar, a compressive cabin, alighting lamp, a camera, a microphone, an altimeter, an audio-visual data acquisition module, an image compression processing module and a main control module. The compressive cabininputs electrical signals to the lighting lamp, the camera and the microphone through watertight wires, and the camera and the microphone transmit video image signals and sound signals back to the audio-visual data acquisition module. The image compression processing module is in TCP / IP full-duplex communication with the main control module, the main control module is in serial communication withthe underwater sound communication sonar, the underwater sound communication sonar is in semi-duplex underwater sound communication with the buoy, and the buoy is in radio communication with a mothership. According to the audio-visual detection system and method of the robot under the whole-sea deep water, the underwater robot is enabled to collect image, video and audio information from shallowsea to a depth of 11,000m, an improved wavelet transform image compression algorithm is used for compressing an image, and the image is transmitted to the buoy by underwater sound communication and transmitted to the mother ship by radio.

The invention discloses a method for transmitting an individualized short message based on an image compression algorithm and GPRS real-time transmission and relates to the technologies of touch identification, image compression and GPRS transmission. In a system realized based on the method, a user can edit an individualized short message easily on an mobile terminal of the user; the information containing variant characters, abbreviated characters and individualized scribbled characters and symbols is intactly transmitted to a receiver in the form of images, so that the receiver can enjoy the individualized creation 'face to face's and the information that the user wants to express can be conveyed. The invention has relatively high requirements on the network environment, and the requirements, however, can be easily satisfied according to the current development of the communication network. The invention has a very wide application prospect due to the increasing individualized creation of the people and the constantly improved network environment and terminal technology.

A compressing algorithm of circular interest region in digital image includes deriving mask code calculation formula corresponding to circular interest region and improving SPIHT algorithm to obtain image compression algorithm suitably to be used on circular interest region.

The invention provides an inspection unmanned aerial vehicle communication network switching method and system. The method comprises: acquiring the real-time signal intensity of each wireless communication network received by an inspection unmanned aerial vehicle; determining a target wireless communication network with the maximum real-time signal intensity from the real-time signal intensities;and matching a preset image compression algorithm and a preset communication module corresponding to the target wireless communication network according to the communication protocol type of the target wireless communication network, and performing compression processing and transmission on image data acquired by the inspection unmanned aerial vehicle through the preset image compression algorithmand the preset communication module. When the inspection unmanned aerial vehicle executes an inspection task, the optimal communication quality can be kept even if the position and the signal intensity are continuously changed, and the technical problem that the efficiency and the quality of returning images are easily influenced when the position of the existing inspection unmanned aerial vehicle is changed and the signal intensity is changed is solved.

The invention particularly relates to an intelligent terminal image compression algorithm combining edge calculation and deep learning. The intelligent terminal image compression algorithm combining edge calculation and deep learning is characterized in that an image compression model is deployed in the data transmission process of a terminal and a cloud, image data and video data acquired by an edge terminal are compressed, and key frames and motion information are reserved at the same time, so that data transmission is reduced, bandwidth pressure is reduced, a large amount of storage space is saved, and searching time of positioning abnormal behaviors is shortened. According to the intelligent terminal image compression algorithm combining edge calculation and deep learning, image size of task data with large calculation amount is compressed on the premise of not losing the image precision, the compressed data is transmitted to the cloud for calculation, the edge cooperation advantages of the terminal and the cloud are brought into play to the maximum extent, the network transmission data volume can be reduced, the bandwidth pressure is reduced, the overall response speed is increased, a large amount of storage space can be saved, and the searching time of positioning abnormal behaviors can be shortened.

The invention discloses an image processing method, device and equipment based on WebP image compression algorithm, and a computer readable storage medium. The method comprises the following steps: acquiring multiple Y macro blocks, multiple U macro blocks and multiple Z macro blocks in YUV image data of a to-be-processed image; performing recombination on sub-block traverse order in multiple Y macro blocks, multiple U macro blocks and multiple V macro blocks according to dependency relation among the macro blocks; combining the Y block after the sub-block traverse order recombination and theU macro blocks and the V macro blocks of an image region located by each Y macro block, thereby obtaining a target macro block of the image region located by the Y macro block; performing recombination on the sub-block traverse order in each target macro block according to the dependency relation among the target macro blocks; and traversing the sub-blocks in various target macro blocks accordingto the recombined order to obtain the brightness and chromacity of the to-be-processed image. Through the image processing method, device, equipment and computer readable storage medium provided by the invention, the parallel processing among the Y macro blocks, the U macro blocks and the V macro blocks is realized.

The invention discloses a GPRS and ZigBee network-based debris flow monitoring and early warning system. According to the system of the invention, sensor nodes can be linked to a variety of kinds of debris flow sensors; data monitored by the sensors pass through a gateway and then are preliminarily processed through ARM equipment; processed data are connected into an IP network through GPRS connection and then are transmitted to a remote data and management center for processing and storing the data; an administrator configures a sensor network through a reverse link, releases a monitoring task and collects monitoring data; after a PC receives the data, upper computer software immediately processes and analyzes the data, and obtains data information of monitored debris flows according to the critical values of key factors, and therefore, the debris flows can be monitored, and debris flow early warning signals can be timely emitted when a disaster risk occurs; monitoring personnel switch on an image acquisition system at the ARM equipment in real time; and after the calculation of an efficient image compression algorithm, image information of a site where a disaster is to occur is transmitted to the PC or a monitoring center through a GPRS wireless network.

The invention relates to a maximum error image compression method based on limited wavelet synopses. The maximum error image compression method is characterized by comprising the following steps of firstly, performing first-level line Haar wavelet decomposition on each line of a pixel matrix, storing the approximate value, filtering the generated detailed components, and reserving the required detailed components; performing first-level row Haar wavelet decomposition on each row, storing the approximate value, filtering the generated detailed components, and reserving the required detailed components; alternatively performing the line Haar wavelet decomposition and the row Haar wavelet decomposition on the newly generated approximate values, and filtering the detailed components until one approximate value is left; finally, using the approximate values and the detailed components to reconstruct data. The maximum error image compression method has the advantages that the error of each point of the reconstruction data is controlled within the setting range; compared with the existing maximum error image compression algorithm, the running time of the algorithm is shortened, and the reconstruction image quality is improved.

The invention belongs to the technical field of computer application, and particularly relates to a generation method and a generation system of a fixed-frame animation. The generation method includes: Opening an initialization frame buffer, and mapping a frame buffer device address to a storage mapping address; Opening a video equipment file; Obtaining equipment information; changing Relevant settings of the equipment according to needs; Acquiring the acquired image data; Extracting video data frames; And connecting the extracted plurality of video data frames according to a time sequence togenerate a fixed-frame animation. The animation processing efficiency is high, the redundancy is low, and the real-time response is fast by adopting streaming processing. According to the invention, the storage stores one frame of picture and establishes the mapping relation between the picture and the address; An improved image compression algorithm is adopted to compress each frame of image, andon the basis that a high compression ratio can be obtained and the visual effect of the compressed image is basically the same as that of an original image, the peak signal to noise ratio and the subjective visual quality of the image are further improved.

The invention provides a system with wireless remote LED image transmission, which is composed of a user computer system, an image processing card, an internet, a server, a wireless internet, and a terminal LED screen, wherein the user computer system is connected with the image processing card which is connected with the server via the internet, the wireless network connects the terminal LED screen with the server. The system can realize the control of single host on a plurality of display screens, which builds a server website to provide LED screen terminal management and wireless network service to terminal user, and uses image compression algorism to realize the system structure of wireless remote LED screen image transmission.

A system and method for compressing files obtains a file to be compressed, divides the file into different sections. The system and method further compresses each section with an image compression algorithm or a text compression algorithm according a type of each section, and connects all compressed sections to obtain a compressed file.

The invention discloses a device and method for prolonging the distance between a computer host and human-machine interface equipment. The device comprises a far end device, a near end device and a transmission cable. The far end device comprises a video sending device and a distance prolonging device of a far end universal serial bus. The near end device comprises a video receiving device and a distance prolonging device of a near end universal serial bus. A video signal is transmitted to the video receiving device in a single direction through the video sending device after being compressed through the intraframe static image compression algorithm. A serial video signal is transmitted through one or two or three video transmission channels by selecting one of the video sending device and the video receiving device. By means of the device and method for prolonging the distance between the computer host and the human-machine interface equipment, data in the USB format sent by the computer host and the human-machine interface equipment are converted into serial data suitable for being transmitted in the long-distance cable, and the transmission distance is prolonged.

The invention discloses a remote sensing image compression algorithm hardware implementation method based on JPEG-LS inter-frame extension, and belongs to the technical field of image compression. The method comprises the following steps of: (1) controlling a compression mode; (2) blocking coding frame and reference frame images; (3) performing motion estimation to obtain an optimal matching block; (4) carrying out multi-predictor parallel computing, and selecting an optimal predictor; (5) carrying out multi-branch modeling and prediction to obtain a residual error; and (6) carrying out Golomb limited length coding on the residual error, and outputting a compressed code stream. The remote sensing image compression algorithm hardware implementation method supports an efficient inter-frame extension structure of multi-channel data caching of block access, full-search motion estimation and multi-predictor parallel computing, and improves the pixel throughput rate by adopting the idea of an assembly line and a template sliding window; and inter-frame information is introduced on the basis of JPEG-LS intra-frame compression, a motion compensation inter-frame prediction technology is adopted, image space redundancy and time redundancy are eliminated at the same time, and the compression efficiency is high.