Abstract: Techniques for per-channel image intensity correction includes linear interpolation of each channel of spectral data to generate corrected spectral data.

Abstract: A method for modifying an image being defined by a matrix of pixels comprises: •calculating (1) a color frequency distribution of the matrix of pixels; •defining (3) for each pixel an energy value as a weighted function of the color frequency of the pixel, so as to define an image saliency map; •transforming (5) the image, said transformation being based on the pixel energy values. A computer software product to apply the method, an apparatus and a TV set are also disclosed.

Abstract: In a document analysis system that receives and processes jobs from a plurality of users, in which each job may contain multiple electronic documents, to extract data from the electronic documents, a method of automatically pre-processing each received electronic document using a plurality of image transformation algorithms to improve subsequent data extraction from said document is provided. The method includes: electronically partitioning each received electronic document page into pieces; automatically processing each piece of the received electronic document page using each of a plurality of image pre-processing algorithms to produce a plurality of image variations of each piece; and analyzing the outputs of subsequent processing and data extraction, on each of the image variations of the pieces to determine which output is best, from the plurality of outputs for each piece.

Abstract: Embodiments of the present invention are directed to a method and apparatus for block based image compression with multiple non-uniform block encodings. In one embodiment, an image is divided into blocks of pixels. In one embodiment the blocks are four pixels by four pixels, but other block sizes are used in other embodiments. In one embodiment, a block of pixels in the original image is compressed using two different methods to produce a first and second compressed block. Thus, each block in the original image is represented by two, typically different, compressed blocks. In one embodiment, color associated with a pixel is determined by combining the compressed information about the pixel in the first compressed block with information about the pixel in the second compressed block. In another embodiment, global information about the image is combined with the information in the first and second compressed blocks.

Abstract: Methods, systems, and compositions of matter are disclosed herein for the compression of digital image(s) and for the expansion of digital images so compressed. In various aspects, the digital images may be compressed and the compressed images expanded substantially without loss of information.

Abstract: Tools disclosed herein comprise progressive, paint stroke based region recognition and selection tools. Using these tools, a user may partially paint a region of interest directly on an image (by using a paint brush or other similar tool). Unlike conventional selection tools, a user is not required to paint the entire region pixel-by-pixel. Rather the desired region is automatically and intelligently recognized based on the partial selection. This is accomplished via a progressive selection algorithm. In addition, these tools provide the ability to quickly execute such region selections on multi-megapixel images.

Abstract: Processing for a time-series analysis of keywords comprises clustering or classifying pieces of document data, each of which is description of a phenomenon in a natural language, on the basis of frequencies of occurrence of keywords in the pieces of document data, individual keywords being also clustered or classified by clustering or classifying the pieces of document data, and performing a time-series analysis of frequencies of occurrence of pieces of document data containing individual keywords in clusters or classes into which the pieces of document data are clustered or classified or a time-series analysis of frequencies of occurrence of pieces of document data containing clusters or classes into which the individual keywords are clustered or classified. Frequency distribution showing variation of the frequencies of occurrence of the pieces of document data is acquired by the time-series analysis.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for labeling images. In one aspect, a method includes automatically identifying an object in an image using a deep model-based and data-driven hybrid architecture.

Abstract: A first generation unit generates a RAW image reduced in the horizontal direction from a RAW image including pixels each having single-color signal information, by limiting the band of spatial frequencies in the horizontal direction and decreasing the number of pixels in the horizontal direction. The RAW image reduced in the horizontal direction is stored in a line memory. A second generation unit generates a reduced RAW image by decreasing, at least in the vertical direction, the number of pixels of the RAW image reduced in the horizontal direction. This makes it possible to generate a reduced RAW image using little memory capacity.

Abstract: A system that extracts text from an image includes a capture device that captures the image having a low resolution. An image segmentation subsystem partitions the image into image segments. An image restoration subsystem generates a resolution-expanded image from the image segments and negates degradation effects of the low-resolution image by transforming the image segments from a first domain to a second domain and deconvolving the transformed image segments in the second domain to determine parameters of the low-resolution image. A text recognition subsystem transforms the restored image data into computer readable text data based on the determined parameters.

Abstract: A method for fingerprinting video comprising identifying motion in a video as a function of time; using the identified motion to create a motion fingerprint; identifying peaks and/or troughs in the motion fingerprint, and using these to create a reduced size points of interest motion fingerprint. Reduced size fingerprints for a plurality of known videos can be prepared and stored for later comparison with reduced size fingerprints for unknown videos, thereby providing a mechanism for identifying the unknown videos.

Abstract: A method, apparatus and computer program product are provided for compressing data in a manner that decorrelates a plurality of components of multicomponent data and then encodes data relating to decorrelation of the components. The components may be decorrelated by organizing samples of a component into classes based upon values of samples having corresponding spatial locations in at least one preceding component. In this regard, the organization of samples of a component into classes may include defining classes based upon values of the samples in at least one preceding component. In addition, the method may also define classes based upon the slope of the samples in at least two preceding component.

Abstract: A method, system, and computer-readable storage medium for automatic segmentation of a video sequence. A segmentation shape prediction and a segmentation color model are determined for a current image of a video sequence based on existing segmentation information for at least one previous image of the video sequence. A segmentation of the current image is automatically generated based on a weighted combination of the segmentation shape prediction and the segmentation color model. The segmentation of the current image is stored in a memory medium.

Abstract: The present disclosure is directed to methods, systems, and apparatus for improved data compression. In one embodiment, a method is provided that separates image data by color channels and ordered bit planes. The method includes arranging bytes representing pixel values from a source image into corresponding color channels. Bits in each color channel are separated into a plurality of bit planes that are ordered based on significance. Then, the method may combine bits associated with adjacent pixel locations from common bit planes into new bytes. Once the image data is separated in this way, different compression processes are applied to data sets represented in the ordered bit planes.

Abstract: A computer generated method is disclosed. The method includes receiving data values and performing a 1-D 16×16 discrete cosine transform (DCT) on the data values by replacing each irrational constant used in multiplication operations with a rational dyadic constant that approximates the irrational constant. The output of the DCT is then scaled by a set of scale factors that refine the precision of the approximations used for the 16×16 DCT.

Abstract: An image processing device includes a supply unit that supplies a coefficient data group in each sub-band, in which image data of a predetermined number of lines is decomposed for each frequency band by a hierarchical analysis filter process and which includes coefficient data of one line or more in a sub-band of at least a lowest frequency component, a synthesis filter unit that synthesizes the coefficient data group and generates image data in a baseband, a supply control unit that controls the supply unit to supply the coefficient data at such a timing that the synthesis filter unit can generate the image data at a timing corresponding to a horizontal synchronization period, and a synthesis filtering control unit that controls the synthesis filter unit to synthesize the coefficient data group in the predetermined order and generate the image data at a timing corresponding to the horizontal synchronization period.

Abstract: An information processing device includes a storage storing information indicating a first region subjected to moving-image compression and transmission; an identification unit identifying a second region where the update amount of an image is greater than or equal to a threshold value; a determination unit determining whether the image of the second region being associated with the moving image of the first region is to be transmitted, based on an overlapping relationship between the first region and the second region; and a transmission unit transmitting an image of a region including a portion of the second region, following the transmission of the image of the first region, with the image of the region being subjected to moving-image compression, and transmitting information indicating a display position of the image subjected to moving-image compression, when the second region is to be transmitted with being associated with the first region is determined.

Abstract: Methods, apparatuses, and computer program products are provided for controlling luminance of non-tissue objects within an image. A method may include determining one or more seed pixel values for an image. The method may further include determining, based at least in part on the one or more seed pixel values, one or more regions of the image that include non-tissue objects. The method may additionally include defining a mask comprising the determined one or more regions of the image. The method may also include calculating a mask pixel value based at least in part on a defined luminance value. The method may further include setting pixel values within the mask to the calculated mask pixel value. The method may additionally include causing masking of the image with the mask. Corresponding apparatuses and computer program products are also provided.

Abstract: There is provided an image processing system and an image processing method able to suppress block distortion in the case of decoding image data encoded in unit of blocks. A controlling unit selects a filtering content to be applied to the block image data based on the encoding types of the block image data to be filtered, and a filtering unit applies filtering to the block image data to be processed according to the filtering content selected by the controlling unit.

Abstract: Adaptive local tone mapping may be used to convert a high dynamic range image to a low dynamic range image. Tone mapping may be performed on an on a Bayer domain image. A high dynamic range image may be filtered to produce a luminance signal. An illumination component of the luminance signal may be compressed. A reflectance component of the luminance signal may be sharpened. After the luminance signal has been processed, it may be used in producing an output image in the Bayer domain that has a lower dynamic range than the input image. The output Bayer domain image may be demosaiced to produce an RGB image. Tone-mapping may be performed with a tone-mapping processor.