Abstract: An image processing apparatus includes a storage unit in which regression coefficient data is stored for each class on the basis of a tap in which a linear feature amount corresponding to a pixel of interest of first image data and a non-linear feature amount determined from the image data are used as elements; a classification unit configured to classify each of linear feature amounts of a plurality of items of input data of the input first image into a predetermined class; a reading unit configured to read the regression coefficient data; and a data generation unit configured to generate data of a second image obtained by making the first image have higher quality by performing a product-sum computation process by using the regression coefficient data read from the reading unit and elements of the tap of each of the plurality of items of input data of the input first image.

Abstract: An image processing apparatus may include a feature quantity extraction unit configured to extract a feature quantity from an image, a setting unit configured to set setting information including a plurality of setting items used to perform processing upon the image so that a designated setting item can be changed among the setting items; and a recording unit configured to associate the setting information with a feature quantity of the image and record them.

Abstract: A multi-screen television receiver remote control system includes a multi-screen television receiver including a plurality of television receivers, and a remote controller for controlling the multi-screen television receiver. In the multi-screen television receiver remote control system, the remote controller includes a determining section, a manipulating section, a remote control command generating section, and a transmitting section. The multi-screen television receiver includes a receiving section, a recognizing section, and an executing section.

Abstract: A coefficient learning apparatus includes: a student-image generation section configured to generate a student image from the teacher image; a class classification section configured to sequentially set each of pixels in the teacher image as a pixel of interest and generate a class for the pixel of interest from the values of a plurality of specific pixels; a weight computation section configured to add up feature quantities; and a processing-coefficient generation section configured to generate a prediction coefficient on the basis of a determinant including said deterioration equation and a weighted constraint condition equation.

Abstract: A system for estimating audience state using the video signal relative to an imaged audience and audio signal according to voices from the audience generated in an input unit. A characteristic amount detection unit detects information on a movement amount, movement periodicity, a volume, voice periodicity of the audience, and a frequency component of voices from the audience based on the video signal or the audio signal. An estimation unit estimates an audience state based on the detected result. An output unit outputs the estimated result of the audience state. The audience state can be easily estimated without observing the audience state by a person.

Abstract: A planar antenna device includes a dielectric layer and two conductor layers vertically sandwiching the dielectric layer. The lower conductor layer is used as a ground, and the upper conductor layer forms a radiating element having a structure in which four or more radiating element pieces of different sizes are connected to a feeder line.

Abstract: An image signal processing apparatus includes a detecting unit configured to detect a motion vector of a tracking point provided in an object in a moving image, a computing unit configured to compute a reliability parameter representing the reliability of the detected motion vector, a determining unit configured to determine whether the detected motion vector is adopted by comparing the computed reliability parameter with a boundary, an accumulating unit configured to accumulate the reliability parameter, and a changing unit configured to change the boundary on the basis of the accumulated reliability parameters.

Abstract: A rear projection type image display apparatus. The apparatus includes a projector that projects an image having a relatively high luminance, and a transmission type screen installed at an image formation plane of a projection light from the projector. The apparatus also includes a first polarizing plate having a first polarization direction disposed in front of an exit pupil of the projector, and a second polarizing plate having a second polarizing direction that is substantially orthogonal to the first polarizing direction disposed near a rear surface side opposite to an irradiation surface of the transmission type screen.

Abstract: The present invention relates to an image processing device that can reproduce a state in which, using a first display device, an image is displayed on a second display device having a characteristic different from that of the first display device, an image processing method, and a program. A motion detecting unit 100 detects motion of an image from an input image signal. A sub-field developing unit 200 develops the input image signal over sub-fields. A light-intensity integrating unit 300 calculates, in a simulated manner, the light intensity integrated on the retinas of a person at the time the person sees the input image signal, from the direction of the motion of the image and a light emitting pattern of the sub-fields, and displays the image with the calculated light intensity on the first display device. The present invention is applicable to the case where, for example, using an LCD, a state in which an image is displayed on a PDP having a characteristic different from that of the LCD is reproduced.

Abstract: An image processing apparatus for converting a first image into a second image having higher image quality than the first image. The image processing apparatus including first pixel value extracting means for extracting plural pixel values within the first image and estimate noise amount arithmetically operating means for obtaining estimate noise amounts for the plural pixel values. The image processing apparatus also including processing coefficient generating means for generating second processing coefficients in accordance with an arithmetic operation for first processing coefficients and the estimate noise amounts, second pixel value extracting means for extracting a plurality of pixel values, and predicting means for generating a pixel value of the pixel of interest.

Abstract: An image signal processing apparatus includes: a block division unit inputting an image signal encoded by orthogonal transformation and dividing the image signal into second blocks different from first blocks encoded using the orthogonal transformation; an activity calculation unit calculating an activity of each second block; a re-encoding unit encoding the second blocks using the orthogonal transformation; a re-encoded difference calculation unit calculating difference values between the second blocks and the first blocks; a class determination unit determining a class of each second block on the basis of a distribution of the difference value and the activity; a prediction coefficient generating unit generating a prediction coefficient corresponding to each class; a prediction tap construction unit constructing a prediction tap for calculating a target pixel in each second block; and a predictive operation unit operating the prediction tap and the prediction coefficient to calculate a pixel value of each t

Abstract: The present invention relates to a data conversion apparatus and a learning device in which an image can be converted into a higher-quality image. A class-tap generating circuit (2) and a predictive-tap generating circuit (3) respectively generate from an SD image a class tap for classifying a specified pixel of an HD image and a predictive tap for determining the specified pixel. A classification circuit (4) classifies the specified pixel based on the class tap. A coefficient RAM (5) obtains a tap coefficient for the class of the specified pixel from tap coefficients obtained by using supervisor pixels and learner pixels and by learning the relationship between the supervisor pixels and the learner pixels for each of at least one class while applying weighting to the supervisor pixels and the learner pixels based on the activity of the predictive tap generated from the learner pixels. A predictive-computation circuit (6) determines the specified pixel by using the tap coefficient and the predictive tap.

Abstract: An optical selector includes: an optical waveguide which includes a first light guide section having a first refractive index, a second light guide section having a second refractive index provided to the side of and along the entire circumference of the first light guide section, and a reflector provided at opposing positions on both surfaces of each of the first and second light guide sections while exposing the outer circumferential surface of the second light guide section; a single or plurality of LDs that are placed on the outer circumference of the optical waveguide, and emit light toward the first light guide section; and a single or plurality of photodetectors that are placed on the outer circumference of the optical waveguide, and receive light emitted from the outer circumference of the optical waveguide.

Abstract: An image processing device for converting an input image into an output image whose blur is reduced. The image processing device includes a first image extracting section that extracts a plurality of pixels composed of a pixel of the input image corresponding to a pixel of interest in the output image and predetermined pixels surrounding the pixel of the input image. A first feature quantity calculating section calculates a first feature quantity from the plurality of pixels extracted by the first image extracting section. A second pixel extracting section extracts a plurality of pixels composed of the pixel of interest and predetermined pixels surrounding the pixel of interest from the input image. A predicting section then generates a pixel value of the pixel of interest.

Abstract: Disclosed is an image signal generating apparatus that includes a video information obtaining unit that obtains a plurality of video information, a characteristic information obtaining unit that obtains a plurality of predetermined characteristic information from each of the plurality of video information obtained by the video information obtaining unit, and a sorting unit that changes an order of displaying the plurality of the video information based on each of the plurality of characteristic information obtained from the characteristic information obtaining unit. The image signal generating apparatus further includes a display image signal generating unit that generates a video signal to display the plurality of video information based on information obtained, as a result of changing the order of displaying the plurality of the video information, from the sorting unit.

Abstract: An information processing device for tracking the image of a tracking point within a moving image wherein contents, of multiple images which are continuous temporally, are discontinuous temporally, includes: a block-matching unit for performing block matching within the moving image, wherein a processed image and an image prior to the processed image are compared to determine the position of the tracking point within the processed image; an interpolation unit for performing interpolation processing wherein the position of the tracking point within an image not subjected to the block matching, which is an image before or after the processed image within the moving image, is determined as the position of the tracking point within the processed image; and a motion-vector calculating unit for obtaining the motion vector of the tracking point based on the position of the tracking point within the processed image determined by the block-matching unit or interpolation unit.

Abstract: A rear projection image display apparatus that includes one or more projectors that project an image having a high luminance, a first screen having a fibrous texture and that diffracts light incident from the one or more projectors in accordance with a fiber roughness of the fibrous texture, and a second screen attached to the first screen on a side of the first screen opposite the one or more projectors and that diffuses light incident from the first screen and outputs the diffused light.

Abstract: An image processing device includes: a smoothing section configured to extract a smoothing tap and smooth a target image on the basis of pixel values within the tap, the smoothing tap being of variable size and including plural pixels centered on each target pixel of the image; a class tap extracting section configured to extract a class tap including plural pixels centered on each target pixel in the smoothed image; a class code determining section configured to generate a code corresponding to a characteristic of variation of pixel values within the class tap, and determine a class code including a size of the smoothing tap and the code; and a pixel value computing section configured to read tap coefficients corresponding to the determined class code, and multiply pixel values forming a prediction tap extracted from the smoothed image, by the tap coefficients to calculate pixel values of a processed image.

Abstract: A frame interpolation device includes: a unit dividing two temporally different reference frames of moving image signal into block units; a unit detecting motion vectors in block units in accordance with correlation between blocks of the reference frames; a unit obtaining at least first and second motion vectors from the statistical amount of the motion vectors; a unit estimating the first or second motion vector for each block in accordance with the obtained first and second motion vectors; a unit translating the first and second motion vectors through a generated pixel in an interpolated frame between the reference frames, setting local areas at four points of the start and end points of the first and second motion vectors as search areas, and identifying the first or second motion vector from the search areas; and a unit performing motion compensation on the pixel by using the first or second motion vector.

Abstract: In the sending and receiving of a signal through an optical waveguide, an unknown substrate connected to the optical waveguide can be recognized.