Sony Corporation

Hideo Kasama

Tetsujiro Kondo

Tetsushi Kokubo

Hisakazu Shiraki

Masanori Kanemaru

Michimasa Obana

Kazushi Yoshikawa

Daisuke Kikuchi

Hideki Mori

Masashi Uchida

Yoshiaki Nakamura

Takeshi Miyai

Takeshi Kunihiro

Takuo Morimura

Yuji Okumura

Shizuo Chikaoka

Kenichiro Hosokawa

Yasuhiko Suga

An image processing apparatus includes a converter converting an interlace image including a first number of pixels into a first progressive image, an interpolator interpolating the first progressive image to generate a second progressive image including a second number of pixels, a classification unit classifying, in accordance with a feature of the second progressive image, into classes, subject pixels forming a third progressive image, which serves as a target image, including the second number of pixels and having a quality higher than the second progressive image, a storage unit storing a prediction coefficient for each of the classes obtained by conducting learning using a plurality of progressive images, each including the second number of pixels, and a computation unit performing computation using the second progressive image and the prediction coefficient for each of the classes to determine the third progressive image from the second progressive image.

Image processing apparatus for converting a lower resolution image into a higher resolution image using cyclic coefficients

The present invention relates to a signal processing device which learns operations made by a user without the user knowing, and which can perform processing optimal to the user based on the learning results. At a learning unit, operating signals supplied according to user operations are monitored, and judgment is made whether or not these can be used for learning. In the event that the operating signals are learning operating signals which can be used for learning, the learning unitlearns a correction norm which is the norm for correcting input signals, based on the learning operating signals. On the other hand, at a correcting unit, post-correction signals, wherein the input signals are corrected based on the correction norm obtained by learning, are output as output signals. The present invention can be applied to an NR (Noise Reduction) circuit which removes noise.

Signal processing device and method which learn a prediction coefficient by least-Nth-power error minimization of student teacher data error to detect a telop within image signals which are input signals by selectively outputting input signals following decision of the processing deciding means

A signal processing device and signal processing method, and program and recording medium, whereby images and the like closer approximating real world signals can be obtained. An object which is moving at a movement amount v in the horizontal direction is photographed, and an image wherein the object is blurred is input into a signal processing device. A continuity setting unit supplies the movement amount v of the object to an actual world estimating unit as continuity information. The actual world estimating unit estimates a pixel value for an image without blurring, by computing a normal equation comprising a model equation which models the relation of the pixel values in the input image and the pixel values in an image without blurring according to the movement amount v, and a constraint condition expression which constrains between the pixels in an image without blurring, and supplies this to an image generating unit. The present invention can be applied to, for example, cases of removing movement blurring from an image, for example.

Signal processing device, and signal processing method, and program, and recording medium

The present invention relates to a signal processing device and signal processing method, and program and recording medium, whereby images and the like closer approximating real world signals can be obtained. With regard to an input image of dimensions fewer than the dimensions of actual world light signals, wherein actual world light signals have been projected and a part of the continuity of the actual world light signals has been lost, actual world signals are estimated at an actual world signal estimating unitfrom the input image within a processing region set at a processing region setting unit, corresponding to continuity set at a continuity setting unit. On the other hand, information relating to at least one of processing region, continuity, and actual world signals, is supplied from a user I/Fto the processing region setting unit, continuity setting unit, or actual world signal estimating unit, according to user operations. The present invention can be applied to, for example, cases of removing movement blurring from an image, for example.

Signal processing device, signal processing method, program, and recording medium

A signal processing device, signal processing method, and program and recording medium which provide images and the like closer approximating real world signals. The signal processing device includes a processing region setting unit, a motion vector setting unit, a model generator, a normal equation generator, a weighting change unit, and a real world estimating unit.

A signal processing device, signal processing method, and program and recording medium which provide images and the like closer approximating real world signals. The signal processing device includes a processing region setting unit, a movement vector setting unit, a model generator, a normal equation generator, an activity detector, a weighting change unit, and a real world estimating unit.

Signal processing device and signal processing method, and program and recording medium

A signal processing device for learning operations made by a user, and for generating signal optimal to the user based on the learning results. A learning unit monitors supplied operating signals generated based on user operations, and judges whether to learn the operating signals. When the operating signals are to be learned, the learning unit learns a correction norm for correcting input signals, based on the learning operating signals and outputs the correction norm to a correcting unit. The correcting unit corrects input signals based on the correction norm and outputs the corrected signals as output signals. The present invention can be applied to an NR (Noise Reduction) circuit which removes noise.

Signal processor

A unified signal encoder acquires a video signal stored in a video recorder, and a vibration signal stored in a vibration signal recorder. The unified signal encoder generates a unified signal based on the video signal and the vibration signal. A signal responsive to a plurality of sensory stimuli is thus transmitted together.

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Kanagawa, Japan

Hideo Kasama