Abstract: An image processing device for converting an input image into an output image whose blur is reduced more, the image processing device including: first image extracting section configured to extract a plurality of pixels composed of a pixel of the input image which pixel corresponds to a pixel of interest as a pixel to which to direct attention within the output image and predetermined pixels surrounding the pixel of the input image; first feature quantity calculating configured to calculate a first feature quantity from the plurality of pixels extracted by the first image extracting section; processing coefficient generating section; second pixel extracting section configured to extract a plurality of pixels composed of the pixel corresponding to the pixel of interest and predetermined pixels surrounding the pixel corresponding to the pixel of interest from the input image; and predicting section.

Abstract: Disclosed herein is a signal processing apparatus for carrying out signal processing to convert input data into output data with a quality higher than the quality of the input data, the data processing apparatus including: a first data extraction section; a nonlinear feature quantity computation section; a processing-coefficient generation section; a second data extraction section; and a data prediction 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: An image processing apparatus includes: a blur removing processing section configured to carry out a blur removing process for an input image using a plurality of blur removal coefficients for removing blur of a plurality of different blur amounts to produce a plurality of different blur removal result images; a feature detection section configured to detect a feature from each of the different blur removal result images; a blur amount class determination section configured to determine blur amount classes representative of classes of the blur amounts from the features; and a prediction processing section configured to carry out mathematic operation of pixel values of predetermined pixels of the input image and prediction coefficients learned in advance and corresponding to the blur amount classes to produce an output image from which the blur is removed.

Abstract: The present invention provides an image processing apparatus for converting a first image into a second image having higher image quality than that of the first image, includes: a first pixel value extracting section; an estimate noise amount arithmetically operating section; a processing coefficient generating section; a second pixel value extracting section; and a predicting section.

Abstract: There is provided a method executed in a cluster system comprising a first computer and at least one second computer that stores the data transmitted from the first computer. The method comprising the steps of: judging whether the failure-occurred processing is restarted by the first computer or the failure-occurred processing is switched over by the second computer based on the system information; receiving the stored data from the second computer and re-executing the processing in which the failure has occurred by the first computer, in the case of which it is judged that the processing in which the failure has occurred is restarted by the first computer; and executing, by the second computer, the processing in which the failure has occurred, in the case of which it is judged that the processing in which the failure has occurred is switched over by the at least one second computer.

Abstract: A coding apparatus includes a blocking unit configured to divide an image into blocks, a reference value acquiring unit configured to acquire two reference values not smaller and not greater than a pixel value of a focused pixel, a reference value difference calculation unit configured to calculate a reference value difference, a pixel value difference calculation unit configured to calculate a pixel value difference between the value of the focused pixel and the reference value, a quantization unit configured to quantize the pixel value difference based on the reference value difference, an operation parameter calculation unit configured to determine an operation parameter that is used in a predetermined operation and minimizes a difference between the pixel value of the focused pixel and the reference value, and an output unit configured to output a quantization result and the operation parameter as a coded result of an image.

Abstract: A communication method includes re-transmitting, from a transmitter to a receiver, a packet or a plurality of packet segments formed by segmenting the packet, when the transmitter receives a re-transmission request from the receiver. The packet includes identification information and information indicating that the packet is not segmented. The packet segments include the identification information, information indicating that the packet is segmented, and information for assembling the packet segments.

Abstract: An information processing apparatus includes an image taking means for taking images of a subject, a class-classification means for classifying a first image outputted by the image taking means into a class according to a characteristics thereof, a storage means for storing plural coefficient memories having different image taking conditions at the time of image taking, which store prediction coefficients according to the class acquired by learning, a designation means for designating one coefficient memory from among the plural coefficient memories based on the image taking condition when the image was taken by the image taking means, and a calculation means for calculating a second image in which noise is removed from the first image by calculating a prediction coefficient of the class of the first image, which is in the designated coefficient memory.

Abstract: A toner for the development of an electrostatic image is provided wherein at least one layer of a particulate resin is coated onto a substantial portion of the surface of an agglomerate of particles made from at least primary polymer particles and primary colorant particles, wherein at least one of the primary polymer particles and the particulate resin contains a wax, and the particulate resin of the outermost layer is substantially free of wax and a process for producing the toner.

Abstract: A toner for the development of an electrostatic image is provided wherein at least one layer of a particulate resin is coated onto a substantial portion of the surface of an agglomerate of particles made from at least primary polymer particles and primary colorant particles, wherein at least one of the primary polymer particles and the particulate resin contains a wax, and the particulate resin of the outermost layer is substantially free of wax and a process for producing the toner.