179 results about "Image decompression" patented technology

The present invention is a method and apparatus for compressing and decompressing data. In particular, the present invention provides for (de-)compressing naturalistic color-image and moving-image data, including high-precision and high-definition formats, with zero information loss, one-sample latency and in faster than real time on common computing platforms, resulting in doubled transmission, storage, and playback speed and doubled transmission bandwidth and storage capacity, and hence in doubled throughput for non-CPU-bound image-editing tasks in comparison with uncompressed formats. The present invention uses a nearly symmetrical compression-decompression scheme that provides temporal, spatial, and spectral compression, using a reversible condensing / decondensing filter, context reducer, and encoder / decoder. In the preferred embodiment of the invention, the compression filter is implemented as a cascade of quasilinear feedforward filters, with temporal, multidimensional spatial, and spectral stages, where appropriate, in that order, whose support consists of adjacent causal samples of the respective image. The decompressor cascades quasilinear feedback inverse filters in the reverse order. The filters can be implemented with mere integer addition, subtraction, and either one-dimensional table lookup or constant multiplication and binary shifting, depending on the computing environment Tables permit the data precision to be constrained throughout to that of the image samples. The encoder uses a table of prefix codes roughly inversely proportional in length to their probability, while the decoder uses chunked decode tables for accelerated lookup. In the fastest and simplest mode, the code tables are context-independent. For greater power, at the cost of a reduction in speed, the code tables are based on the temporal, multidimensional spatial, and spectral adjacent causal residue samples, where contexts with similar probability distributions are incoherently collapsed by a context reducer using one-dimensional lookup tables followed by implicitly multidimensional lookup tables, to minimize the overall table size. The invention's minimal resource requirements makes it ideal for implementation in either hardware or software.

An image compression device comprising an image division unit dividing an image into a plurality of regions, a region designation unit designating a region of interest in the image, a quantization rate determination unit determining quantization rate with respect to each region divided by the image division unit, and a compression control unit controlling compression with respect to each region based on the quantization rate determined by the quantization rate determination unit is disclosed. In the image compression device, the quantization rate determination unit can determine quantization rate for the region of interest different from the quantization rate for the regions other than the region of interest.

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.

Image compression wherein a spatial prediction filter combines two adjacent samples and a corner sample in the proportion 3:3:−2, or wherein chunked decode tables are used to decode embedded prefix codes more than one bit at a time. A spectral prediction filter might be used in conjunction with the spatial prediction filter. Chunked decode tables might be used in combination with simple prediction filters.

Embodiments of the invention are directed toward methods for steganalysis that improve the detection of steganography in texture images. The methods combine features extracted from the image spatial representation and from a block discrete cosine transform (BDCT) representation with multiple different block sizes (i.e., N×N) to improve detection of data hidden in texture images. Image data that is to undergo steganalysis can be provided to embodiments of the invention in at least one of spatial (pixel) and JPEG format. When JPEG format is provided, the image is first decompressed to spatial representation, from which the features are extracted when the block size is at least one 2×2, 4×4, and 16×16. When the block size is 8×8, the JPEG coefficients (JPEG quantized 8×8 BDCT coefficients) derived directly from the JPEG image are used to extract features. In addition, the method is also effective as a universal steganalyzer for both texture and smooth / non-texture images. Embodiments of the invention also (1) utilize moments of 1-D and 2-D characteristic functions; (2) Prediction-error; and (3) all wavelet subbands including the low-low subbands.

A decompression unit is configured to partially decompress a compressed image formed by compressed tiles. Each compressed tiles correspond to a tile of the uncompressed image. The decompression unit selects a subset of relevant tiles, which are visible in a view window or a view frustum. Specifically, the decompression unit includes a tile selector to select the relevant tile and a tile decompressor to decompress the relevant tiles. By decompressing only a subset of the compressed tiles, the decompression unit reduces the processing time required to generate the contents of the view window.

The invention discloses an image compression system, a decompression system, a training method and device, and a display device. In the image compression system, a convolution neutral network module is utilized to complete updating and predicting processes, so that a corresponding image compression system has a better compression ratio when weight of each filter unit in the convolution neutral network module is trained. Therefore, the difficulty of setting filtering parameters of an image compression unit and an image decompression unit is reduced.

The invention provides a method, which has an independent platform and shares a client side computer desktop at high speed for a netmeeting system, and comprises the following steps: a client side computer screen acquisition module intercepts a screen picture and divides the screenshot into a plurality of different areas; the variation of the picture of the frame is compared with the picture of the previous frame, only the changed picture can be encapsulated and sent to the system server; and a server decompresses and assembles small screen images and recompresses the images into Flash monitor flow and then distributes to all client sides participating in a conference. The mode can greatly save bandwidth, improve the shared speed of netmeeting desktop and better satisfy user experience.

When compressing continuous tone bit map image data, the image compression section of the image compressing apparatus segments the continuous tone bit map image data into bit map image data for lossy compression, index image data for lossless compression and bit map image data for lossless compression based on pixel identification information data. The lossy compression section of the image compression section performs lossy compression process according to the JPEG method for the bit map image data for lossy compression, and the first lossless compression section thereof performs lossless compression process according to the JBIG method for the index image data for lossless compression. Furthermore, the second lossless compression section thereof performs lossless compression process according to the JPEG-LS method for the bit map image data for lossless compression.

Disclosed herein is a camera system including: a camera section including a subband dividing section configured to resolve image data of a color whose pixel positions are alternately shifted from each other into subband images, and a first transmission interface section configured to convert the subband images into a predetermined image signal, and output the image signal via a transmission line; and a camera control section including a second transmission interface section configured to convert the image signal input via the transmission line into the subband images, and an image decompressing section configured to decompress the subband images into the image data and synthesize the subband images into the image data output from the image pickup element.

A texture image compressing device includes a separating unit configured to separate intensity maps, including intensity values and light source-independent texture images, those images including color components from a plurality of texture images corresponding to different light source directions and different viewpoint directions. The device includes an intensity map compressing unit configured to compress the intensity maps to generate compressed intensity maps and representative intensity maps that are codebooks of the compressed intensity maps, a light source-independent texture image compressing unit configured to compress the light source-independent texture images to generate light source-independent texture compressed images and color component conversion tables that are codebooks of the light source-independent texture compressed images, and a compressed texture generating unit configured to generate compressed textures by combining the compressed intensity maps, the representative intensity maps, the light source-independent texture compressed images and the color component conversion tables.

An image processing apparatus which corrects, based on information of a foreign substance adhered to an optical element arranged in front of an image sensor in an image capturing apparatus, a shadow of the foreign substance in the moving image data generated by performing predictive encoding by referring to image data of a different input frame, the image processing apparatus comprises: a moving image decompression unit which decompresses an image of each frame by obtaining information representing a difference between frames from the moving image data; and a correction unit which corrects the information representing the difference between frames when the information representing the difference between frames that is obtained by the moving image decompression unit in correspondence with a region containing the shadow of the foreign substance represented by the foreign substance information is determined to be larger than a predetermined threshold.

In a data compressing section, an image decompressing section decompresses compression RGB data, obtained by lossy compression, to generate decompression RGB data. A second segmentation section generates a decompression segmentation signal. Further, a differential extracting section generates a differential signal that indicates a differential between the segmentation signal and the decompression segmentation signal. A second signal compressing section generates a compression differential signal. Then, this compression differential signal is outputted as storage-use segmentation signal (signal indicating segmentation information), to a data storage section, together with the compression RGB data. The compression differential signal is smaller in size than the segmentation signal. This allows for reduction of a time required for data output and reduction of a required storage space.

A camera having an image capture unit and first and second image compression units adapted to compress a digital image outputted from the image capture unit in a first compression method and a second compression method which is different from the first compression method. First and second image decompressions units are adapted to decompress a digital image compressed in the first and second compression methods. The camera is adapted to provide a digital image outputted from the image capture unit to the first or the second image compression unit. The camera is further adapted to store a digital image compressed in the first or the second image compression unit in a removable memory unit, to provide a digital image read from the removable memory unit to the first image decompression unit if the digital image read from the removable memory unit is compressed in the first compression method, and to provide a digital image read from the removable memory unit to the second image decompression unit if the digital image read from the removable memory unit is compressed in the second compression method.

The invention provides, in some aspects, methods for image compression that utilize the central processing unit (CPU) of a digital data processor and its associated graphics processing unit (GPU), together, in order to compress an image. In related aspects of the invention, the GPU is adapted to render at least a portion of an image to an associated texture buffer (i.e., a texture buffer of the GPU) and to transform the resulting image values in that texture buffer to a frequency-based representation. The GPU can, further, order coefficients comprising that frequency-based representation and transfer at least a portion of those coefficients to the associated CPU. That CPU can, in turn, effect transfer of the downloaded coefficients to another digital data processor (or image processing apparatus). Still other aspects of the invention provide methods of image decompression that utilize the central processing unit (CPU) of a digital data processor and its associated graphics processing unit (GPU), together, in order to decompress an image. These methods parallel the compression methods discussed above, albeit in substantially reversed order. Other aspects of the invention provide digital data processing apparatus for image compression, decompression and / or remote image display operating in accord with the methods described above.

The present invention discloses an image nondestructive compressing method including following steps: starting from a first row and rank of the original image data, original pels values of this row and rank and those of the adjacent ones are logically xor to obtain the next row and rank xor pels; a selection between the original pels and the xor pels is made and the selected one is executed the run length coding, and xor mark are added to the head coating and the head coating is output. The invention also discloses an image decoding method including following steps: the run length coding of the row and rank are decoded; the xor pels are also decoded and output. The invention improves the compressing ratio as far as possible, at the same time, the realizing complexity is also reduced, the coding arithmetic is simple and the computing amount is little; the method does not need the special compressing / decompressing chip, so the realizing cost is low.

An image compressor of the present invention includes a difference calculating unit and a difference requantizing unit. The difference calculating unit calculates a predicted difference between a pixel value of image data and a predicted value (a calculated value of the pixel value predicted from known data). When a magnitude of the predicted difference exceeds a predefined threshold value, the difference requantizing unit applies the coarse quantization steps to requantize the predicted difference to keep a bit range to predetermined size. In this manner, compressed data, in which a bit length of the predicted difference for one pixel is adjusted to a fixed bit length, is generated.

The invention discloses a solid video image signal compressing method, adopting the images coming from the left and right viewpoints, where one viewpoint's data act as independent image and the other viewpoint's data act as reference image, to code, combining the independent video image data with the solid image redundant data to compose the complete data existing in frame data form for mixed coding; using the solid image decoding program to decompress the image data after mixed coding in order to recover the solid video images. After images are decompressed, it can display them in different modes according to user's selection. It can obtain plane or solid video images by ordinary plane display or different types of solid displays.

An apparatus (24) is provided for interlacing a plurality of input images (I0, I1) to form an output image (O). The interlacing apparatus (24) comprises a programmable memory (20) for storing one or more interlacing configuration patterns (P1, P2 and P3) which define a mapping from pixels of the input images (I0, I1) to pixels of the output image (O). The interlacing apparatus (24) also comprises a pixel data rearranger or interlacer (16) for rearranging pixel data in accordance with a pattern (P) stored in the memory (20). A pattern controller (18) is provided for selecting any one of the patterns (P1, P2 and P3) for use in the interlacer (16). Such an interlacing apparatus (24) can be used to drive a display device such as a multiple view directional display device or an autostereoscopic display device. A deinterlacer, an image compressor and an image decompressor are also provided.

A graphic display control system is disclosed. The graphic display control system comprises a server computer comprising a memory unit, a graphic display controller accessing image data displayed on the server computer and a cursor information and thereby storing the image data and the cursor information in the memory unit, a compression engine performing an image compression of the image data displayed on the server computer except a cursor pattern data of the cursor information to generate an compressed image data and thereby storing the compressed image data in the memory unit, a network controller receiving the compressed image data and the cursor information from the memory unit and transmitting the compressed image data and the cursor information through a network, and a remote client computer comprising a memory unit, a network controller receiving the compressed image data and the cursor information through the network and storing the compressed image data and the cursor information in the memory unit of the remote client computer, a decompression engine performing an image decompression of the compressed image data in the memory unit of the remote client computer to generate a decompressed image data and storing the decompressed image data in the memory unit of the remote client computer, a graphic display controller receiving the decompressed image data and displaying the decompressed image data on the remote client computer, and a cursor pattern overlay controller receiving the cursor information and overlaying the cursor information on the decompressed image data.

The invention discloses a remote-sensing image decompression method based on a GPU (Graphics Processing Unit). A JPEG2000 image is subjected to the heterogeneous decompression processing by adopting a CPU (Central Processing Unit) and the GPU; the CPU is used for carrying out code stream compression on the image; and the GPU is used for carrying out decompression processing on decoded date. The remote-sensing image decompression method fully performs the efficacies of the CPU and the GPU, so that the image decompression processing speed is improved by 2-3 times.

A simple compression and decompression method provides excellent effects by reducing the storage capacity of an image memory, while adapting to the properties of image. On the basis of luminance information extracted by a luminance extraction block 110, a compression conversion rule setting block 120 sets a compression conversion rule to a compression conversion table 130. In accordance with this compression conversion rule, an image compression block 140 compresses original image data and holds the compressed image data in an image memory 150 along with a type of the compression conversion rule. This type of the compression conversion rule held in the image memory 150 is extracted by a decompression conversion rule setting block 160. In accordance with this type, a decompression conversion rule is set to a decompression conversion table 170. In accordance with the decompression conversion rule set to the decompression conversion table 170, an image decompression block 180 decompresses the compressed image data held in the image memory 150.

The invention relates to an image processing apparatus and a control method therefor. The image processing apparatus which corrects, based on information of a foreign substance adhered to an optical element arranged in front of an image sensor in an image capturing apparatus, a shadow of the foreign substance in the moving image data generated by performing predictive encoding by referring to image data of a different input frame, the image processing apparatus (32) comprises: a moving image decompression unit which decompresses an image of each frame by obtaining information representing a difference between frames from the moving image data; and a correction unit which corrects the information representing the difference between frames when the information representing the difference between frames that is obtained by the moving image decompression unit in correspondence with a region containing the shadow of the foreign substance represented by the foreign substance information is determined to be larger than a predetermined threshold.

The invention discloses a method for effectively encoding and decoding a JPEG2000 image based on a vision potential attention target area. The method comprises the following steps of: before the image is encoded, dividing the image into a plurality of Tile blocks based on the potential target area of different attentions and pre-assigning corresponding target code rates according to vision potential attention target area extraction technology; and then carrying out code stream organization and packaging to realize image compression through quantization, adaptive wavelet transformation, and a bit plane encoding and arithmetic encoder code word reset mechanism on the basis of potential attention target area quality layer code rate control. When network band width is insufficient, the image reconstruction quality of a more-concerned target area can be exchanged at the expense of part of code rates of the target area with smaller potential attention; simultaneously, retractable high-efficiency image encoding and decoding technology is combined with a qualified content based on the potential attention target area.

A moving image compression (or encoding) device including: a hardware processing section which compresses moving image data by hardware; a data storage section which stores the moving image data processed by the hardware processing section; and a software processing section which compresses the moving image data from the data storage section by software. The hardware processing section includes a plurality of processing sections which perform processing including a discrete cosine transform and quantization of the moving image data. The software processing section performs variable-length coding of the quantized moving image data.