294 results about "Jpeg compression" patented technology

A CCD captures a subject image having passed through a taking lens and an image processing circuit performs various types of image pre-treatment including gamma correction and white balance on image data corresponding to n lines×m rows output by the CCD. The image processing circuit also performs format processing on the data. The data are then compressed at a compression circuit. The white balance adjustment and the like are implemented in line sequence at a line processing circuit which engages in signal processing in pixel sequence in units of individual lines in the output from the CCD. The image data having undergone the pre-treatment are then subjected to format processing prior to JPEG compression, at a block processing circuit that engages in signal processing in units of individual blocks each ranging over an n×m (N>n, M>m) block. In other words, the signal processing is performed in block sequence.

Systems, methods and computer accessible medium are provided through which an input data stream consisting one or more media regions before entering a network to be rendered by a display coupled a remote video frame buffer is compressed on the basis of one or more configuration file metadata, source primitive metadata, and application high-level metadata of identified media regions. The input data stream is compressed by using one or more MPEG compression, JPEG compression, vector graphics compression, Huffman coding, or user defined compression scheme.

This invention has as its object to provide an image processing apparatus and method which can efficiently compress an image while maintaining high image quality, and a storage medium for implementing the method. To accomplish this, an apparatus has a text area detector (101) for extracting a text area from multi-valued image data, and generating text area coordinate data (109) as position data of the text area, a binarization unit (102) for generating binary image data (108) by binarizing multi-valued image data of the text area, a color computation unit (103) for generating text color data (110) by computing a representative color of the text area, a text paint unit (104) for generating non-text multi-valued image data A by converting multi-valued image data of the text area using multi-valued image data of an area other than text, a reduction unit (105) for generating reduced non-text multi-valued image data by lowering the resolution of the non-text multi-valued image data, a JPEG compression unit (106) for compressing the non-text multi-valued image data by JPEG, and an MMR compression unit for compressing the binary image data of the text area by MMR.

Systems, methods and computer accessible medium are provided through which an input data stream consisting one or more media regions before entering a network to be rendered by a display coupled a remote video frame buffer is compressed on the basis of one or more configuration file metadata, source primitive metadata, and application high-level metadata of identified media regions. The input data stream is compressed by using one or more MPEG compression, JPEG compression, vector graphics compression, Huffman coding, or user defined compression scheme.

An image sensing apparatus comprising: a CCD, optical system for forming an image on the CCD; A / D converter for converting an image signal outputted by the CCD to a digital signal; color interpolator for performing color interpolation on the digital signal converted by the A / D converter and generating image data on R, G and B color planes; color space converter for converting RGB color space to YUV colorimetric system; and median filter for reducing pseudo color components, generated by the color interpolator, by controlling color difference signals U and V. By cutting high frequency components of the signal, filtered by the median filter, then thinning out YUV signals and performing JPEG compression, pseudo color components generated by color interpolation can be reduced.

The invention discloses a digital image compressing, encrypting and encoding combined method, and belongs to the technical field of image encrypting. The method is achieved on the basis of the JPEG compressing and encoding standard which is most widely applied at present, and the encrypting algorithm based on chaos is integrated with the encoding process; according to the characteristic that DC coefficients and AC coefficients are separately encoded on the basis of the JPEG standard, the DC coefficients and the AC coefficients of an image are separately encrypted; in order to give consideration to both security and compressing efficiency, all the DC coefficients and part of the AC coefficients are encrypted through the method, coefficients at the same positions in all DCT blocks are divided into different groups and are scrambled and diffused within the groups, and damage to differential encoding and run length encoding in the encrypting process is reduced as much as possible; scrambling and diffusing are achieved on the basis of logistic chaotic mapping and Chebyshev chaotic mapping respectively. The experiments prove that the method has high data compressing capacity while providing effective image data security protection.

A method of removing ringing and blocking artifacts from a decompressed digital image. In one method, a background value of the digital image a background region and foreground regions is determined, and a threshold value is computed. A mapping of the digital image is then generated by thresholding the digital image based on the threshold value to produce a thresholded image, and enlarging the foreground regions of the thresholded image to form a map image. The mapping includes the background pixels of the map image. The background region of the decompressed digital image is then cleansed based on the mapping. In an alternate method, ringing artifacts are removed from a decompressed digital image based on a signal-to-noise ratio of the image. In yet another alternate embodiment, ringing artifacts are from a decompressed digital color image that includes a chrominance channel and a luminance channel. An alternate embodiment removes ringing and blocking artifacts.

A region separation unit separates an inputted color document image into a plurality of types of regions such as a character region, a clip art region and a photo image region, and a clip art region extraction unit identifies the clip art region from among the separated regions. A clip art region dividing unit divides the clip art region based on the color features of the clip art region, and a clip art background identify unit identifies the background portion of the clip art region from among the divided regions. A filling unit for filling portions other than the background of a clip art fills a portion of the clip art other than the background with the background color, and a JPEG compression unit compresses the result obtained from the process for filling a clip art portion.

The invention discloses a robustness harce image identification method based on Zernike matrix in the image identification technique field. The selection of the image character is the key procedure in the harce algorism. The invention regards Zernike matrix as the character of the image and identifies the image by getting the randomized image harce value and comparing with the image harce value among Zernike matrix. The method achieves the steady of harce algorism with the inalterability of Zernike, which provides the operation steady of rotating the image, compressing JPEG, increasing the noise and filtering, and can identify the malicious falsification.

A method and apparatus for communicating compressed video information includes storing video information compressed based on a first compression method, such as a method with a high compression ratio, and transcoding the compressed video information to produce corresponding recompressed video information that is based on a second compression method, with a lower compression ratio such as standard JPEG compression or other suitable compression. The method and apparatus, if desired, may include sending the recompressed video information for a destination apparatus which may then suitably decompress the video information using a standard decompression technique. For example, storing the compressed image in a high compressed format, for example, in a piecewise basis may be done online while the camera, for example, is in use so that the image is properly captured and then, transcoding the compressed image to a different level of compression while the camera is offline.

The invention discloses a digital image blind watermark adding method suitable for internet, which comprises the steps of: acquiring the original images of a watermark image and a watermark to be added, binarizing the watermark image, conducting Arnold scrambling, and then modifying part of intermediate frequency coefficient transformed by DCT, thus realizing the embedding of the watermark; the invention correspondingly discloses a digital image blind watermark extracting method which realizes watermark extraction by detecting the part of intermediate frequency coefficient transformed by DCT,and a watermark removing method which is realized by modifying the part of intermediate frequency coefficient transformed by DCT; the algorithm is simple and reliable, the method is suitable for beingrealized by the internet, neither the extracting or removing of watermark needs the participation of the original image; and the embeded invisible watermark has stronger capability of anti-JPEG compression attack, also has extremely strong robustness to sharpening attack and shearing attack, and is used for implicit identification digital image copyright.

A unique high performance digital video recorder having a number of novel features. The recorder's electronics are all on a unitary printed circuit board. The recorder also requires at least one hard disk drive and audio and video input analog signals (from a source such as video camera or broadcast media) as well as a suitable monitor for receiving output audio and video analog signals. A external time code generator (i.e., VITC digital clock) is also required for synchronization. Also required are various manual control devices (i.e., panel controls) for mode selection. The electronics of the preferred embodiment comprise A-to-D and D-to-A converters, a hard disk interface, a JPEG compression encoder / decoder, a multi-port DRAM and DMA subsystem, a microprocessor with RS-232 and RS-422 access ports, various working memory devices and bus interfaces and a 16-bit stereo digital audio subsystem. Novel features of the preferred embodiment include use of an index table for disk addresses of recorded frames, a multi-port memory controller in the form of a field programmable gate array (FPGA), loop recording using dual channels, and dynamic JPEG compression compensation.

The invention discloses a method for fusing multi-focus images in an anti-noise environment, which can be used for fusing the multi-focus images, has noise resisting capacity, and can be applied to a common optical system. The method particularly comprises the following steps of: (1) performing Laplacian pyramid decomposition on a source image; (2) performing iterated operation on a decomposed sub-band coefficient by a pulse coupling neural network to obtain a corresponding ignition frequency matrix; (3) performing judgment operation by a judgment operator operational unit to acquire a fusion coefficient; and (4) performing LP inverse transformation on the fusion coefficient by adopting a pseudo-inverse reconstruction method to acquire the final fusion image. The method has the capacity of resisting additive noises and JPEG compression system noises, has a high objective evaluating indicator for the fusion image, and effectively weakens 'false Gibss' phenomena at the edge of the fusion image of the conventional LP method; in addition, the method has high adaptability, is convenient for calculation and is favorable for hardware implementation.

A system and method for authentication of JPEG image data enables the recipient to ascertain whether the received image file originated from a known identified source or whether the contents of the file have been altered in some fashion prior to receipt. A unique hashing function is derived from a first section of image data contained in the JPEG compressed image in such a way that any changes subsequently made to the first section of image data is reflected in a different hashing function being derived from a signature string is embedded into a next section of the image data. Since the embedding of a previous section's integrity checking number is done without modifying the JPEG bit stream, any JPEG decoder can thereafter properly decode the image.

A CMOS imager in which a CMOS image sensor, a color image processing module and an image compression module are all provided on a single die. Both the color image processing module and the image compression module incorporate pipelined architectures to process the image data at a video rate in a massively parallel fashion.

An image is classified respective to JPEG compression history. An image signature is derived from the image. The image signature is indicative of spatial frequencies content of chrominance components of the image including spatial frequencies content associated with JPEG compression. The image is classified respective to whether the image has undergone JPEG compression based on analysis of the image signature.

The invention discloses a JPEG compressed image super-resolution reconstruction method based on a convolutional neural network (CNN). The method mainly includes the following steps of: constructing asuper-resolution reconstruction model based on the CNN for a JPEG compressed image; training the constructed CNN by using a training image; reconstructing a JPEG-compressed low-resolution image by using a trained CNN model. The constructed CNN framework comprises a decompression effect network, a resolution enhancement network and a quality enhancement network, and can be subjected to end-to-end optimization training. The method of the present invention can reduce the compression noise in the JPEG compressed image and improve the resolution of the JPEG compressed image, can be applied to the fields of image and video compression, digital multimedia communication and the like.

The invention provides a detection method for secondary compression of a JPEG image. By using the characteristic that an AC coefficient histogram in a DCT coefficient of primary JPEG compression accords with Laplace distribution, a Laplace distribution function of the AC coefficient of the primary JPEG compression of an image to be detected is estimated in a fit mode according to the AC coefficient distribution of the JPEG image to be detected; the statistic is detected through a difference structure of normalized histogram distribution of the fit distribution function and an actual AC coefficient; and whether the JPEG image is subjected to the secondary compression is judged by using SVM classification. The method has high detection accuracy and wide applicability.

The invention relates to a method for using computer to receive the video data input by the camera mobile phone, and relative system, wherein said method comprises: (1), connecting the mobile phone and the computer via data line; (2), the computer starts the video function of video application program, the operation system scans the hardware port of computer, and sending the video catch information via the application program interface; (3), the virtual camera device searches and catches the video catch information; (4), the computer checks the working condition of mobile phone if meets the data transmission; (5), if meets, the mobile phone enters into stepping state, to obtain the JPEG compressed code flow data, to be sent to the buffer region of image processing module; (6), the image processing module demands the data of buffer region, to transform the JPEG compressed code flow data into bit document to be caught and displayed by the video application program. The invention can transmit the video data to the computer, without writing fixed driving program into the mobile phone.

The invention belongs to the technical field of image processing, relating to a characteristic matching method based on bilateral matching and trilateral restraining. The method comprises the following steps of: obtaining initial points with a bilateral matching arithmetic; reorganizing the initial points with trilateral triangulation arithmetic; and using the characteristic matching arithmetic based on the trilateral restraining to achieve a result for improving the correction rate of matching points and increasing the number of the correct matching points. For most geometrical transformation and light transformation, the method comprises rotation transformation, scale transformation, fuzzy transformation, visual angle change, JPEG compression and light intensity change, is more robust, and can obviously improve the correction rate of the matching points and the number of the matching points, thereby having wider application field, being capable of obtaining a better characteristic matching result, and having higher practical applicability.

The invention discloses a color halftoning image watermarking algorithm based on a support vector machine. In the algorithm, based on the support vector machine, watermarking embedded in a halftoning process is realized through adjusting error diffuse nuclei and a threshold value in a self-adapting manner. The algorithm comprises the following steps of: selection of two-dimension watermarking, encrypting and dimension reduction, selection of digital watermarking embedding position, embedding process of digital watermarking, extraction process of digital watermarking and the like; and the experiment shows that the algorithm has good watermarking imperceptibility and also has better robustness to attacks such as random alteration, noise superposition, geometric cutting, low-pass filtering, JPEG (joint photographic experts group) compression, printing and scanning and the like.

An image sensing apparatus comprising: a CCD, optical system for forming an image on the CCD; A / D converter for converting an image signal outputted by the CCD to a digital signal; color interpolator for performing color interpolation on the digital signal converted by the A / D converter and generating image data on R, G and B color planes; color space converter for converting RGB color space to YUV colorimetric system; and median filter for reducing pseudo color components, generated by the color interpolator, by controlling color difference signals U and V. By cutting high frequency components of the signal, filtered by the median filter, then thinning out YUV signals and performing JPEG compression, pseudo color components generated by color interpolation can be reduced.

A system and methodology for removing JPEG-compression artifacts from color images, wherein a first-stage examination of the image takes place to determine, in accordance with several approaches, whether artifact removal is appropriate for the image. Following such examination and characterization, when an image is determined to be a candidate for artifact removal, pixel blocks in the image are examined so that they can be characterized as uniform, busy or transitional, and from these characterizations, appropriate filters, or no filter at all, are employed to prepare such pixels for insertion into a final artifact-removed output color image.

The invention discloses a sparse representation-based deblocking method, which mainly solves the problem of the presence of a blocking effect in a block discrete cosine transform (BDCT) compressed image. The method comprises the following implementation steps of: (1) selecting a clean training image set and training a general dictionary with a kernel singular value decomposition (KSVD) algorithm and a batch processing orthogonal matching pursuit algorithm; (2) compressing a test image by controlling a quality factor during joint photographic experts group (JPEG) compression so as to obtain a JPEG compressed image; (3) calculating the noise standard deviation of the JPEG compressed image; (4) automatically estimating an error threshold according to the quality factor and the noise standarddeviation; (5) constructing an image block matrix of the JPEG compressed image so as to obtain a de-noised sparse representation matrix; and (6) obtaining a deblocking result image by using the general dictionary and the sparse representation matrix. Compared with the prior art, the invention has the advantages that: a higher or similar peak signal to noise ratio can be obtained, the visual effect of a deblocked image is good, computation complexity is low, and a blocking effect in a BDCT compressed image can be eliminated.

The invention discloses processing method and device for multi-agent cooperative video capturing and image stitching. The device comprises a monocular agent video capturing module, a DSP (digital signal processing) image processing unit module, a WIFI (wireless fidelity) communication module and an upper computer image-stitching module. The agent video capturing module acquires images of the surrounding in real time through an embedded camera of a mobile agent. The images acquired by the camera are subjected to JPEG (joint photographic experts group) compressed encoding by a DSP image processing unit on a monocular agent, and then the compressed image data are transmitted to an upper computer through the WIFI communication module. The upper computer uses a VC-prepared (visual C-prepared) control software interface, the image data are decoded by the image-stitching module, multiple images are stitched by an image processing algorithm, the redundant images are detected, and unknown environmental information is extracted. Software includes the image-stitching module.

A method for producing a compressed bit-stream from a digital image includes the steps of a) processing the digital image to produce a main subject belief map containing a continuum of belief values relating to the importance of subject and background regions in the image, b) performing a spatio-frequency transformation on the digital image to produce an array of transform coefficients, c) deriving a distortion-weighting factor for each transform coefficient from the belief map, and d) producing a compressed bit stream using an image compression system that is responsive to the distortion-weighting factors. The specific image compression system may be selected from a variety of image compression systems, including JPEG compression, JPEG2000 compression or vector quantization. The production of the main subject belief map involves the extraction of at least one structural saliency feature and at least one semantic saliency feature from the image, and the integration of the structural saliency feature and the semantic feature using a probabilistic reasoning engine into an estimate of a belief that a region of the digital image is the main subject.

The invention discloses a multi-channel video transmitting system and method. The method comprises a transmitting end and a receiving end. The transmitting end comprises a video source and a video code flow transmitting device. The receiving end comprises a video code flow receiving device. The transmitting end of the invention further comprises a multi-channel JPEG coder for performing JPEG compression to the video code flow to generate a coded image sequence. The receiving end further comprises a multi-channel JPEG decoder for performing JPEG decompression to the video coded image sequence to generate the video code flow. The invention can fully utilize the parallelism and low complexity of JPEG to compress the high definition video and can make the transmitting bandwidth based on the IP network satisfy the real-time requirement of the high definition video in order to realize the optimal transmitting effect of the high definition video with comparatively low development cost under limited network bandwidth.

A binarizing unit binarizes a multilevel image. A region specifying unit A specifies the position of a character region in the binary image, and determines whether or not the specified character region is an inverted character region. A region specifying unit B specifies the position of a unit character region. A reducing unit reduces the multilevel image. A representative color extracting unit extracts the representative color of a unit character region on the basis of region type information indicating whether or not a character region is an inverted character region, position information of a unit character region, and a reduced multilevel image. A character region padding unit pads a character region of a reduced multilevel image with its neighboring color on the basis of position information of the character region. A JPEG compressing unit compresses a padded reduced multilevel image. An MMR compressing unit compresses a partial binary image corresponding to a character region. Compressed data containing position information, the compressed code created by each compressing unit, and the representative color information of a unit character region is output.

A method of removing ringing and blocking artifacts from a decompressed digital image. In one method, a background value of the digital image a background region and foreground regions is determined, and a threshold value is computed. A mapping of the digital image is then generated by thresholding the digital image based on the threshold value to produce a thresholded image, and enlarging the foreground regions of the thresholded image to form a map image. The mapping includes the background pixels of the map image. The background region of the decompressed digital image is then cleansed based on the mapping. In an alternate method, ringing artifacts are removed from a decompressed digital image based on a signal-to-noise ratio of the image. In yet another alternate embodiment, ringing artifacts are from a decompressed digital color image that includes a chrominance channel and a luminance channel. An alternate embodiment removes ringing and blocking artifacts.

The invention relates to an image coding method based on total variation, comprising the following steps of: (1) decomposing an input image (I) into a structure component (u) and a texture component (v); (2) analyzing the (u) at a coding end, selecting an analyzed area, mapping the (u) to the (v), and coding non-synthetic areas in the (u) and the (v) by using JPEG (Joint Photographic Experts Group) traditional coding mode; analyzing areas which need to be analyzed in the (v) by using a block connection method at a decoding end, v'' represents an analyzed result of a texture area, and u' and v' respectively represent compressed results of the non-synthetic areas in the (u) and the (v); (3) superimposing the u', the v' and the v'' at the coding end to obtain an image I', and I'' represents a result of the input image I which is compressed by the traditional FPEG; and under the same bit rate, judging whether the I' or the I''is nearer to the I by a JND (Just Noticeable Difference) model, then, if I'' is nearer to the I, reducing a decomposable model parameter lambda, returning to the step (1) to continue a whole process until the I' is nearer to the I as compared with the I'', finishing circulation, and selecting the I'. The invention can increase the coding quality of the image at the coding end.