1835 results about "Image code" patented technology

To achieve an image encoding apparatus that has extensibility by not limiting an image to be referenced, and that can reduce processing time satisfactorily if the processing of an ordinary frame is skipped, the apparatus of the present invention comprises: motion detecting means for detecting a motion vector for each block of a prescribed size from a reference image and an input image; weighted motion-compensation means for, based on the detected motion vector, extracting from the reference image an area of a prescribed size which is wider than the prescribed block size and which contains an area corresponding to each block of the input image, and for creating a predicted image for the input image by applying a predetermined weight to each of pixels in the wider area and by using the weighted pixels of the wider area; a predicted-image memory for storing the predicted image; encoding means for taking a residual between the stored predicted image and the input image, and for encoding the residual; and decoding means for decoding the encoded image data and thereby obtaining a reference image.

The present invention proposes a computer system and a method capable of performing integrity detection, comprising: a running mode unit which comprises an integrity detection boot variable to determine whether or not to initiate an integrity detection boot mode by judging said running mode unit; an EFI integrity detection unit (5), which is used for performing an integrity detection on EFI image codes in the integrity detection boot mode, and comprises an integrity metric value for being compared with an EFI integrity calculated value generated after the EFI integrity detection unit performs the integrity detection on the EFI image codes, to determine the integrity of the EFI image codes; an operating system integrity detection unit (6); and an integrity management unit. The present invention is based on the EFI BIOS to perform the integrity detection on the operating system during the pre-boot stage, having better reliability and security.

Images are coded with higher efficiency while maintaining the same image quality. An image coding method of coding an image on a block basis, including: transforming (S1201) a two-dimensional array of pixel values of a current block to be encoded, into a two-dimensional array of transform coefficients; determining (S1202), depending on the two-dimensional array of the transform coefficients, a scan order for scanning the transform coefficients of the two-dimensional array; scanning (S1203) the transform coefficients of the two-dimensional array sequentially according to the scan order, to generate a one-dimensional array of the transform coefficients; and coding (S1204) the transform coefficients of the one-dimensional array.

An image coding method includes dividing an input picture into a plurality of pixel block signals, performing intra prediction for extrapolating or interpolating a prediction pixel using reference pixels changed in number according to a distance between the prediction pixel and a reference pixel in plural prediction modes each representing a prediction direction, generating a predictive image signal by extrapolating or interpolating the prediction pixel, calculating a prediction error signal from the pixel block signal and the predictive image signal, selecting one prediction mode of the plural prediction modes using the prediction error signal, and performing entropy-coding using the prediction error signal based on the selected prediction mode.

A moving image encoding method includes outputting encoded data that comprises an image code sequence corresponding to slices of a moving image and first timing information indicating times at which the slices are to be decoded.

An image processing apparatus comprises a unit acquiring a multi-level image as a processing-object image, a unit acquiring a binary image which is created based on the multi-level image, a unit extracting a specific attribute region which is a region with a specific attribute from the multi-level image, a unit changing pixels other than the specific attribute region in the binary image to white pixels, a unit creating a multi-level image in which the pixels of the specific attribute region are changed by a background color, a unit determining a color of the specific attribute region, a unit creating an image of the specific attribute region having the color determined, an image coding unit carrying out compression coding of two or more images which are created respectively, and a unit creating an integrated file in which the coded images are integrated.

A macro block size determining unit 1 determines the size of each macro block on a frame-by-frame basis. A macro block dividing unit 2 divides an inputted image into macro blocks each having the size determined by the macro block size determining unit 1. A macro block coding unit 3 determines a coding mode for each of the macro blocks divided by the macro block dividing unit 2, and codes pixel values in each of the macro blocks in the determined coding mode.

An image decoding apparatus is capable of decoding coded bit streams with different coding schemes. The image decoding apparatus includes a coding scheme decision section for deciding a coding scheme from coding scheme identification information multiplexed into a coded bit stream, a setting unit for setting header information on a second coding scheme in accordance with header information in a first coding scheme, and a decoder for decoding image coded data in the first coding scheme in response to the header information on the second coding scheme, which is set.

A moving image coding method that can prevent playback discontinuity without an increase in processing load during playback is provided.The moving image coding method codes a video stream that includes a first moving image and a second moving image to be overlaid on the first moving image. The moving image coding method includes: a step of determining a continuous playback section that is a group of partial sections and is subject to continuous playback, in the video stream (S5301 to S5303); a step of coding the first and second moving images in the partial sections constituting the continuous playback section, under a constraint that prevents a threshold from being changed in the continuous playback section, the threshold being used for a transparency process by a luminance key in the overlaying (S5304); and a step of generating management information including flag information which indicates that the threshold is fixed in the continuous playback section (S5305).

An image coding apparatus includes: a division unit configured to divide a coding target picture included in an input video signal into a plurality of slices each including one or more data blocks; a coding unit configured to code the video signal in a unit of the slice divided by the division unit; and a setting unit configured to set at least one of a division position of the slice and a number of divisions of the slice, to the division unit. In the image coding apparatus, the setting unit sets at least one of the division position of the slice and the number of divisions of the slice so that slice boundaries differ from each other between adjacent pictures.

A wavelet transform unit performs a wavelet transform on original images and a quantization unit quantizes wavelet transform coefficients. A ROI selector selects a region of interest or regions of interest in the original image, and a ROI mask generator generates ROI masks with which the wavelet transform coefficients (which are also called ROI transform coefficients) corresponding to the regions of interest are specified. By referring to the ROI masks, a lower-bit zero substitution unit substitutes low-order bits of non-ROI transform coefficients with zeros. An entropy coding unit entropy-codes the wavelet transform coefficients sequentially from high-order bit-planes, after the substitution. A coded data generator turns coded data into streams together with parameters and then outputs coded images.

The image coding apparatus according to the present invention includes: a similar image search unit 201 which searches at least one second still image which is similar to a first still image; a coding processing unit 202 which generates a predictive image for the first still image using the at least one second still image as the reference image, and codes the difference between the first still image and the predictive image; and a reference image information processing unit 204 which adds information which indicates the location of at least one of the second still image to the bit stream.

A method is disclosed, for encoding a signal with a three dimensional image sequence using a series of left and right images. Each image in the left image series is a picture formed by non-interlaced or interlaced scanned left line images, and each image in the right image series is a picture formed by non-interlaced or interlaced scanned right line images. The left line images contained in the left picture are merged with the right line images contained in the right picture to produce an alternately arranged left and right line merged picture. The merged picture is encoded using an MPEG-2 compliant encoder.

An image coding and decoding technology for compressing motion pictures which makes use of critical point filter technology and that includes detection of scene changes to provide more accurate decoding. An image input unit acquires key frames. A scene change detector detects when there is a scene change between key frames, and notifies a matching processor to that effect. The matching processor then skips generation of correspondence data between those key frames. A stream generator generates a coded data stream in a manner that key frames and associated correspondence data are incorporated when there is no scene change, while key frames and associated correspondence disable data are incorporated when there is a scene change. This allows a decoder to more accurately decode the data stream and take account of scene changes.

A moving image coding apparatus which has coders (17, 18, 19) for dividing an input moving image signal into a plurality of frames, dividing each of the frames into one or more image areas, compressing and coding the image areas, and outputting an area image code string, a system multiplexer (20) for separating frame header information indicating the coding mode, etc., of the frame frame from the frame frame and adding the frame header information to one or more coded area image code strings, and a sender (25) for collecting one or more area image code strings to which the frame header information is added, adding packet header information, putting into a packet, and sending the packet.

The invention provides an intra-frame coding method based on a rolling hush and block-level intra-frame prediction of the technical field of image processing. A hash function with a rolling type calculation characteristic and a corresponding rolling type algorithm are selected and utilized to set up an image block lookup table about positional information contained in an image coded area of various image blocks with different pixel contents and hash values of the pixel contents of the image blocks, the image block lookup table is used for judging whether a current image block to be coded is a stored image block in the image block lookup table or not, and two-tuples further serve as coding information of the current image block to be coded or adding is carried out on the image block lookup table. According to the intra-frame coding method, a number of repeated image blocks existing in screen images are fully utilized to further improve intra-frame compressibility, on the premise that calculation expenditures at worst are guaranteed, little calculation expenditures are used for determining whether a prediction block the same as the current image block to be coded exists in the image coded area or not, and when a number of repeated image blocks exist in the screen images, the intra-frame coding method can obtain higher compressibility compared with an existing method.

The present invention provides a method for acquiring region-of-interest and / or cognitive information from an eye image, comprising the steps of: preprocessing, standardizing, and coding the group of eye images for region-of-interest information or cognitive information to create eye image codes and to build a characteristic eye library in a memory in order to improve an iris recognition rate; grouping and partitioning or covering eye codes for eye images stored in the characteristic eye library into a plurality of groups, and obtaining a representative eye code of each of the eye code groups, preprocessing, standardizing, and coding a new eye image not assigned region-of-interest information or cognitive information in the same way as the above-described step to create a test eye code, matching the test eye image to the most similar eye image in the characteristic eye library, and transferring the region-of-interest information or cognitive information assigned to the matched eye image to the test eye image. The transferred information is utilized in the preprocessing of the eye image.

An apparatus usable in an image encoding and decoding system includes segmentation unit to divide an image into one or more blocks, to segment the blocks into a binary mask layer of a foreground and a background according to a cost optimized function and a feature vector to generate a segmentation image according to the segmented blocks.

A network system includes a server and an apparatus connected to the server via a network. The server includes a connection information generation part configured to generate connection information including network connection information for a portable terminal connecting to the network and apparatus connection information including the IP address of the apparatus, and a connection information transmission part configured to transmit the connection information to the apparatus. The apparatus includes an image code display part configured to display an image code into which the connection information is converted, a request reception part configured to receive a job request specifying the IP address of the apparatus and transmitted from the portable terminal having decoded the image code and connected to the network using the network connection information, and a job execution part configured to execute a job based on the job request.

An image coding method of compressing and coding image data includes: binariziang a plurality of coefficients to generate a binary signal, the plurality of coefficients being included in a unit of processing of the image data in a frequency domain; determining a context to be used for arithmetic coding of the plurality of coefficients, based on a position of a last non-zero coefficient in a scan order among one or more non-zero coefficients included in the unit of processing; performing arithmetic coding on the binary signal using probability information corresponding to the determined context; and updating, based on the binary signal, the probability information corresponding to the determined context.

An image coding method includes: quantizing a signal to be coded to determine a quantized coefficient (S11); inverse quantizing the quantized coefficient to generate a decoded signal (S12); subdividing the decoded signal into image areas (S13); estimating (i) first correlation data for each area larger than one of the image areas determined in the subdividing, and (ii) second correlation data for each of the image areas determined in the subdividing, the first correlation data indicating a correlation between the signal to be coded and the decoded signal, and the second correlation data indicating an autocorrelation of the decoded signal (S14); calculating a filter coefficient using the first and second correlation data for each of the image areas (S15); filtering the decoded signal for each of the image areas, using the filter coefficient calculated in the calculating; and providing only the first correlation data from the first and second correlation data.

A system and method that provides an efficient scheme to code images and video by exploiting spatial correlations within an image by employing hybrid directional prediction and lifting wavelet techniques.

The invention discloses a method for evaluating the objective quality of a full-reference image based on structure similarity, comprising the following steps: firstly, utilizing the space domain visual characteristic to obtain a visual perceptual map of an original image and solve for a position at which visual perception is remarkable; secondly, utilizing an evaluating method based on the structure similarity to solve for a structure similarity drawing SSIM (i, j) between the original image and a distorted image, calculating relative quality of the distorted image, and solving for a position of severe distortion; thirdly, defining the principle of visual attention focus transfer, ensuring a new visual attention focus, and producing a new visual perceptual map after the visual attention focus transfer; and fourthly, obtaining the objective evaluation of the image quality by using the weighted structure similarity of the produced visual perceptual map. The method is suitable for design of various image coding and treating algorithm as well as comparison of different algorithm effects, more accords with a human subjective evaluation on the aspect of an evaluating result of the image, and has a wide application prospect.

There is a problem of increasing image quality deterioration when selection of an intra prediction mode for a face outline portion is not correct at a low bit-rate. This invention includes: a face detection unit detecting a face image from an input picture; and an intra prediction mode control unit controlling intra prediction mode selection based on a result of the detection of the face detection unit. In the control of intra prediction mode selection, an intra prediction mode is selected based on where a current block is positioned in a region of the face image. Thereby, an appropriate intra prediction mode can be selected for the face outline portion. As a result, image quality deterioration on the face image at a low bit-rate can be prevented.

The method (100) involves determining a dense motion vector field (Vn) for an actual image area (In) of an image sequence by comparison with an image area (In-1) of the image sequence. A confidence vector field (Kn) is determined for the actual image area, which indicates a confidence value for a motion vector for the motion vector field. Motion vector field reconstruction parameters (FP) for the actual image area are determined based on the motion and confidence vector fields. The motion vector field is reconstructed by using the reconstruction parameters. Independent claims are also included for the following: (1) a method for decoding an image sequence (2) a method for transmission and / or storage of an image sequence (3) an image coding device (4) an image decoding device (5) a system for transmission and / or storage of an image sequence (6) a computer program comprising instructions for executing a method for compression of image sequence.

The moving image coding method includes: changing at least one of a resolution and a frame rate of an input image, according to a degree of difficulty in coding the input image, and outputting an image to be coded (S11); coding the image outputted in the changing, and transmitting a coded bit stream through a transmission channel (S12); determining a coding bit rate that is a bit rate of the coded bit stream transmitted through the transmission channel (S13); and selecting a resolution range for determining an upper limit of a resolution of the image to be coded according to the coding bit rate determined in the determining to control the change in the changing so that the resolution of the image to be coded does not exceed the upper limit (S14).

An image coding method includes transforming a color space of a color image from a first color space to a second color space to generate a color space transformed color image (S12), removing part of samples included in the color space transformed color image to generate a subsampled color image (S13), coding the subsampled color image to generate a coded color image (S14), determining an upsampling coefficient used for upsampling (S16), determining a color space inverse transform coefficient for inversely transforming the color space from the second color space to the first color space (S17), and outputting the coded color image, the upsampling coefficient, and the color space inverse transform coefficient (S19).